Open Access

Endogenous cholinergic tone modulates spontaneous network level neuronal activity in primary cortical cultures grown on multi-electrode arrays

  • Mark W Hammond1,
  • Dimitris Xydas2,
  • Julia H Downes2,
  • Giovanna Bucci1,
  • Victor Becerra2,
  • Kevin Warwick2,
  • Andrew Constanti3,
  • Slawomir J Nasuto2 and
  • Benjamin J Whalley1Email author
BMC Neuroscience201314:38

DOI: 10.1186/1471-2202-14-38

Received: 18 June 2012

Accepted: 8 March 2013

Published: 26 March 2013



Cortical cultures grown long-term on multi-electrode arrays (MEAs) are frequently and extensively used as models of cortical networks in studies of neuronal firing activity, neuropharmacology, toxicology and mechanisms underlying synaptic plasticity. However, in contrast to the predominantly asynchronous neuronal firing activity exhibited by intact cortex, electrophysiological activity of mature cortical cultures is dominated by spontaneous epileptiform-like global burst events which hinders their effective use in network-level studies, particularly for neurally-controlled animat (‘artificial animal’) applications. Thus, the identification of culture features that can be exploited to produce neuronal activity more representative of that seen in vivo could increase the utility and relevance of studies that employ these preparations. Acetylcholine has a recognised neuromodulatory role affecting excitability, rhythmicity, plasticity and information flow in vivo although its endogenous production by cortical cultures and subsequent functional influence upon neuronal excitability remains unknown.


Consequently, using MEA electrophysiological recording supported by immunohistochemical and RT-qPCR methods, we demonstrate for the first time, the presence of intrinsic cholinergic neurons and significant, endogenous cholinergic tone in cortical cultures with a characterisation of the muscarinic and nicotinic components that underlie modulation of spontaneous neuronal activity. We found that tonic muscarinic ACh receptor (mAChR) activation affects global excitability and burst event regularity in a culture age-dependent manner whilst, in contrast, tonic nicotinic ACh receptor (nAChR) activation can modulate burst duration and the proportion of spikes occurring within bursts in a spatio-temporal fashion.


We suggest that the presence of significant endogenous cholinergic tone in cortical cultures and the comparability of its modulatory effects to those seen in intact brain tissues support emerging, exploitable commonalities between in vivo and in vitro preparations. We conclude that experimental manipulation of endogenous cholinergic tone could offer a novel opportunity to improve the use of cortical cultures for studies of network-level mechanisms in a manner that remains largely consistent with its functional role.


Acetylcholine Endogenous cholinergic tone Cortical culture Multi-electrode array


Despite lacking a genetically defined, layered or ‘cell nucleus’ topology, primary neuronal cultures share many features with the tissues from which they are obtained, including cell phenotypes, receptor and ion channel complements, intrinsic electrical membrane properties, synaptic development and plasticity [14]. As such, cultures have been widely used as models of in vivo networks in numerous study types, including neuronal firing dynamics during development [5], neuropharmacology [6], neurotoxicity [7, 8], disease states such as Alzheimer’s [9] and, most recently, the study of information flow and synaptic plasticity within networks [1015]. However, the dominant mode of spontaneous neuronal activity exhibited by such cultures, including cortical cultures, is recurrent, high frequency, synchronised activity (termed ‘global bursts’ [16, 17]) which, outside of hypersynchrony diseases such as epilepsy [18], early periods of synaptic development [19] and slow wave sleep [20], is rarely seen in vivo.

In addition to being unrepresentative, the presence of spontaneous global bursting interferes with experimental aims, confounds findings and so hinders the translation of results obtained from cultures to in vivo conditions. For example, conflicting results have been obtained regarding experimentally-induced synaptic plasticity in cortical cultures at the network level possibly due to overriding synaptic changes induced by global burst activity [14, 15]. Furthermore, hypersynchronous activity can hinder effective signal processing of extracellular electrophysiological recordings [21, 22] and provides a poorly suited driver for closed-loop neural animat (artificial animal) paradigms in which a culture is embodied using, for example, sensors and actuators of a mobile robot [2325]. This latter point is of particular relevance as animat use has received considerable support as a platform for investigations of network level processing within a behavioural context without a priori knowledge of underlying cellular and/or molecular mechanisms [23, 2630]. Moreover, unrepresentative neuronal activity will hinder and confound the use of embodied cultured networks in the design of model neural systems and effective brain-computer interfaces for disabled human patients [31].

Global burst activity in cultures shares common features with neuronal activity exhibited during epileptic seizures in vivo and both states typically arise via excitatory and inhibitory synaptic imbalance [32]. We postulated that such activity could arise and/or be modulated by the release of ‘tonic’ endogenous neurotransmitter(s) within the culture environment (e.g. glutamate [33, 34] or acetylcholine (ACh) [35]). In this regard, central muscarinic acetylcholine receptor (mAChR) activation causes in vivo seizure activity [36] and in vitro epileptiform activity in acute brain slices [37, 38]; neuronal firing can be either increased or ablated by pharmacological manipulation of muscarinic ACh receptor (mAChR)-mediated postsynaptic increases in excitability and presynaptic inhibition of neurotransmitter release respectively [39, 40]. In addition to modulating seizure-related excitability, mAChRs mediate a broad functional role in vivo, modulating plasticity, information flow, network communication and plateau potential generation [41] together with central pre- and postsynaptic nicotinic acetylcholine receptors (nAChRs) also influencing neuronal firing and transmitter release to modulate higher order functions in learning and memory [42].

Since all culture-based studies rely upon the tenet that some common features are shared with in vivo tissues, a means to modulate physiologically unrepresentative burst activity could support the growing need for better physiological and functional comparability. Thus, identification and manipulation of a postulated endogenous cholinergic system in cortical cultures represents an attractive target by which to achieve these ends. Here, using immunohistochemical, RT-qPCR and electrophysiological methods we show the presence of intrinsic cholinergic neurons and significant endogenous cholinergic ‘tone’ in cortical cultures grown on multi-electrode arrays (MEAs) and that tonic neuronal activation of both mAChRs and nAChRs affects both global excitability and burst event regularity in a culture age-dependent manner.


Cell culture

Timed pregnant Wistar-Kyoto dams (Charles River, Margate, Kent, UK) were sacrificed in accordance with the UK Animals (Scientific Procedures) Act 1986 by overdose with inhaled isoflurane (Merial Animal Health, Harlow, Essex, UK) at embryonic day 18. Embryos were then rapidly removed, decapitated and decerebrated on ice. Cortical sections from each foetus were removed under aseptic conditions and finely chopped in cooled phosphate-buffered saline (PBS; Lonza, Slough, Berkshire, UK). The tissue was then enzymatically dissociated in 0.04% trypsin EDTA (Invitrogen, Paisley, Renfrewshire, UK) at 37°C (NAPCO 6500 TC Incubator, Thomson Scientific, London, UK) before quenching with horse serum (Invitrogen) after 20 minutes. The clear phase of the resulting suspension was then pipetted off and made up to 10 ml with warm sterile PBS plus 20 mM glucose solution followed by 6-9 trituration passes and centrifugation at 800 rpm for 4 minutes at room temperature. The resulting cell pellet was resuspended in 12 ml of control media that consisted of Eagles minimum essential medium base (92.8% EMEM; Invitrogen) supplemented with gentamycin (0.1%; Invitrogen), 1 M glucose (1.5%; Sigma Aldrich, Poole, Dorset, UK), HrS (5%; Invitrogen) and L-glutamine (0.5%; Invitrogen). Viable cell density was determined by visual inspection on a haemocytometer by 0.4% trypan blue (Invitrogen) staining. Cultures were maintained by bi-weekly 50% media exchange and, after 7 days in vitro (DIV), media L-glutamine content was reduced to 0.25%.

Seeding and restriction

Multi Electrode Arrays (see below) were soaked in an aqueous solution of 1% Terg-a-zyme (Alconox via Cole-Palmer, London, UK; ~20 minutes) before washing in 70% ethanol (Thermo-Fisher, Epsom, Surrey, UK), rinsing in ultrapure water and air drying before application of a sellotape inverse template equal in diameter to the MEA total electrode area (~1 mm2). MEAs were then autoclaved and coated by addition of 50 μl 0.1 mg/ml poly-d-lysine (Sigma Aldrich) on the electrode area for 20 minutes before rinsing in PBS (Invitrogen) and overnight sterilisation under ultraviolet light. Finally, MEAs were incubated with 1 ml of EMEM plus 10% foetal calf serum (Sigma Aldrich) for a minimum of 2 hours. This media was removed immediately prior to seeding and replaced with 1 ml of a 500,000 cells/ml suspension. Seeded cultures were allowed to settle for 30 minutes before template removal and addition of Potter rings [43]. When not under recording conditions (see below), cultures were maintained at 37°C, 5% CO2 in a humidified incubator.

Developmental classification

Cultures were classified as either immature (DIV14-25) or mature (DIV37-61) on the basis of previously published developmental classifications (~DIV30; [44]). For brevity in text, the letters ‘m’ and ‘i’ are used to denote mature and immature respectively. The minority of cultures that failed to exhibit a mean global burst incidence of >0.25 Hz within 5 minutes of commencing control recordings were considered atypical and excluded from the present study.


Cultures on cover slips were prepared and maintained in an identical manner to those seeded onto MEAs (see above) and using tissue from the same source embryos on three separate occasions. Cultures were fixed in freshly made 4% paraformaldehyde (pH 7.4, Sigma Aldrich) immediately prior to immunohistochemical staining. Cultures were washed in PBS three times between each of the following steps and all immunohistochemical reactions were conducted at room temperature. Non-specific binding was prevented by blocking with 10% normal goat serum (Invitrogen) in PBS and cells were permeabalised with 0.02% Triton TX-100 (Sigma Aldrich) for 5 minutes. Primary antibodies directed to ß-tubulin (1:500; Invitrogen; G7121), tyrosine kinase A (TrkA; 1:10000; Reichardt Lab, University of California; [45]), α-bungarotoxin-488 (100 nm; Invitrogen; B-14322), M1 (1:100 Millipore; AB5164) and M2 (1:200; Abcam; BA2805) were added for 1 hour before addition of the secondary antibodies, Red Alexa Fluor 568 (1:500; Invitrogen; A-11031) and Green Alexa Fluor 488 (1:500; Invitrogen; A-21206) for 30 minutes. Cell nuclei were stained using 10 mg/ml Hoechst blue 33342 (Invitrogen; H3570) for 5 seconds prior to cultures being mounted on standard glass slides (Thermo Fisher) using Vectashield (Vector Laboratories, Peterborough, Cambridgeshire, UK) and followed by storage at 4°C. Negative controls were produced by omission of primary or secondary antibodies. Positive controls were obtained from perfusion fixed medial septal slice tissue (50 μm coronal sections, +0.2 mm from Bregma) obtained from P > 40 Wistar-Kyoto rats and in which the primary antibody (1:500) was incubated at room temperature overnight. Fluorescence images were acquired using a Zeiss Axio Imager.A1 and an AxioCam MRm coupled with Axiovision software (Carl Zeiss MicroImaging, Welwyn Garden City, Hertfordshire, UK). Confocal fluorescence images were acquired using the Leica confocal laser unit (Leica, Milton Keynes, Buckinghamshire, UK) coupled to a Leica DM IRE2 microscope equipped with a Leica X63, 1.4 NA oil-immersion objective lens.

Ribonucleic acid (RNA) was extracted from cultures (grown, as described above, in T75 flasks) and septal sections (frozen on dry ice during dissection and subsequently homogenised) by addition of RNAbee (AMS Biotechnology Ltd, Abingdon, Oxfordshire, UK) for 5 minutes before addition of 200 μl chloroform (Sigma Aldrich) and centrifugation at 15,000 rpm (Biofuge 15R, Heraeus, Newport Pagnell, Buckinghamshire, UK). The clear phase was then removed, added to 500 μl isopropanol (Sigma Aldrich) and centrifuged again at 15,000 rpm. Finally, the pellet was dislodged, centrifuged in 1 ml of 75% ethanol at 8000 rpm for 4 minutes and air dried before resuspension in RNA resuspension buffer (2 M lithium chloride, 10 mM sodium acetate) at 65°C and stored at -80°C. Complementary deoxyribonucleic acid (DNA) was produced by reverse transcription of 2 μg of RNA in a total reaction volume of 40 μl containing: 8 μl MgCl2 (Promega, Southampton, Hampshire, UK), 4 μl 10x buffer (Promega), 4 μl deoxynucleoside triphosphates (dNTPS; GE Healthcare, Little Chalfont, Buckinghamshire, UK), 1 μl oligo-dT primer (Promega), and 0.5 μl reverse transcriptase (Promega) made up to volume with RNase and Dnase free water (Sigma Aldrich). Reactions were conducted at 42°C for 60 minutes followed by 95°C for 5 minutes. Specific oligonucleotide primers were designed to amplify 143 bases of TrkA (forward: TGATGCTGGCTTGTGCTTGCGCC, reverse CACATAGAGCTCCGTCAGGTTCCCGGC; accession number NM_021589) and 147 bases of choline acetyltransferase (forward: TGGTGTACAGCAGCGCTGGTTCGG, reverse: GCTCCTCCGGAAAAGAACAC CTCCCCC; accession number XM-001061520). Reverse transcriptase quantitative polymerase chain reactions (RT-qPCR) was carried out on a reaction volume of 14 μl that comprised 5 μl 1:50 cDNA diluted in TE buffer (Invitrogen), 1 μl forward primer, 1 μl reverse primer and 7 μl QuantiTect SYBR Green (Qiagen, Crawley, Sussex, UK) in a qPCR thermal cycler (Applied Biosystems, Paisley, Renfrewshire, UK) for 40 cycles. Products were confirmed via both melt curve analysis and visualisation by electrophoresis on a 3% agarose gel (Bioline, London, UK) with 1:10000 ethidium bromide (Sigma Aldrich). Β-actin primers (forward: ATCGTGGGCCGCCCTAGGCAC, reverse: TGGCCTTAGGGTTCAGAGGGGC; accession number NM031144) were used as a positive control alongside a ‘no sample’ negative control.

Electrophysiological recording

All recordings were undertaken within a humidified 37°C, 5% CO2 incubator (NAPCO 6500 TC Incubator, Thomson Scientific) using MEAs sealed with Potter rings ([43]; Scientifica, Brambleside, Sussex, UK). All electrical hardware was sealed in a custom box, open to the humidified environment only at the Potter ring membrane interface. Unit and multi-unit spontaneous neuronal spike firing events were electrophysiologically recorded via ‘8 × 8’ MEAs of 59 planar electrodes (30 μm diameter; 200 μm inter-electrode spacing; Multi Channel Systems, Reutlingen, Germany) housed in a MEA1060BC headstage (Multi Channel Systems). The stability of the recording environment was periodically assessed by examining the mean array-wide firing rate (bin size: 5 mins) over a 72 hour recording period in addition to continuous monitoring of incubator humidity and temperature. Movement-induced changes in activity [17] were mitigated against by observing a 10 minute waiting period following MEA insertion in the headstage or drug application, but before beginning data acquisition. Signals were amplified (1100× gain), band-pass filtered (10-3200 Hz) and recorded as raw data streams and spike cut-outs (Limada threshold: 5.5) in parallel at 25 kHz using MEABench [44]. Following a given experiment, drug was washed off by immediately replacing 100% of the media followed by least two 50% media changes during the following seven days. A minimum waiting period of seven days between successive experiments employing a given culture was established by comparison of the array-wide spike rate in control conditions prior to the application of drug with the same measure derived from a recording made under the same conditions seven days later; no significant difference was found between these pairs of recordings (n = 5; P > 0.5).

Cholinergic agents used in this study were oxotremorine methiodide (OXO-M), atropine (sulfate monohydrate), and mecamylamine (nicotine hydrogen tartrate; MEC), each of which were obtained from Sigma Aldrich (UK). Since mAChR activation can cause neuronal depolarization and the appearance of slow post-burst afterdepolarizing potentials in cortical neurons (sADPs: [46]) and the same phenomenon can also be induced by cortical metabotropic glutamate receptor (mGluR) activation [46], the group I/II mGluR antagonist (S)-α-methyl-4-carboxyphenylglycine (MCPG: 1 mM) was applied in the absence and presence of the mAChR agonist, OXO-M (10 μM) to prevent possible mGluR-mediated postsynaptic events contributing to activity changes in states of high mAChR activation [47]. No significant difference between any measured parameter relative to control was found in the presence of MCPG alone or between OXO-M responses obtained in the presence and absence of MCPG. Where multiple antagonists were sequentially applied, the effect of application sequence was examined, but no statistically significant differences between any measures were found.

Signal post-processing and analysis

All signal processing was performed using in-house MATLAB (v2007b; The Mathworks) tools. Global burst event identification was performed using the MATLAB-based SIMMUX [44] algorithm, adapted to provide reliable burst identification under the conditions employed in the present study, particularly OXO-M-treated states where high levels of tonic firing were evident. The criteria used for global burst identification were ≥4 spikes within 100 ms on ≥4 individual channels which overlapped within in a 250 ms window (see [48] for a review of burst detection methods). Positive-going spikes of ≤50 μV amplitude were taken as representative of the rectification phase of a previous negative-going spike and so were not considered as events in any recordings [49]. The definitions of analysis measures used to quantify changes to spike firing features are shown in Table 1. With the exception of MEC in immature cultures (n = 5), six (MEA) replicates for the different drug states in mature and immature cultures were used.
Table 1

Formal definitions of the measures employed by the current study and their abbreviations used in accompanying figures

Measure name

Abbreviated label used in figures

Formal definition

Network spike rate

Not applicable

Total number of spike events occurring on all channels within a 4 ms bin.

Network spike profile

Not applicable

Network spike rate vs time during global burst events. T0 is defined by the time at which the bin containing the maximum rate occurred and is based on the Simmux algorithm [17].

Spikes per channel during global bursts


Number of spike events per channel during a global burst event.

Spikes on all channels during global bursts


The sum of spike events occurring on all channels during a global burst event.

Active channels during global bursts


Number of channels showing spiking activity during a global burst event when single channel burst criteria are met; see Methods.

Burst duration (channel)


Time between first and last spike events on a channel during a global burst event.

Burst duration (global)


Time between first and last spike events on all participating channels during a global burst event.

In-burst ISI


Mean interspike interval derived from all events occurring on all channels during a global burst event.

Overall ISI


Mean interspike interval derived from all events occurring on all channels during a given recording.

Proportion of spikes occurring in bursts


‘Spikes in bursts’: spike events occurring within global burst events as a proportion of the total number of spike events occurring during a recording.

Inter-burst interval


‘Inter-burst interval’: time between the last spike of a preceding burst event and the first spike of the next burst event.

Representative traces were produced from raw data files using custom MATLAB functions. Due to inherent culture-to-culture variability in basal neuronal activity, measures of drug-induced effects were normalised by calculating the difference between a measure in a drug-treated state from the control state on the same culture and expressed as a percentage of the control value (i.e. percentage change from starting control values). Histograms for given measures (Table 1) were constructed in a similar manner by applying the same process to derive values for each time bin. This approach, as opposed to representations solely by means, was employed to produce visually clear plots. All data are presented as mean ± SEM. Differences between control and multiple drug states for measures listed in Table 1 were assessed using a Wilcoxon signed rank test and the family-wise error rate controlled by taking P ≤ 0.05/4. A two-way ANOVA was employed to establish differences in burst profile between control and drug-treated states and significant differences accepted at P ≤ 0.05. A Student’s t-test was used to assess drug effects on non-normalised means describing spike firing measures.

Preparation of drug stocks

All drugs were dissolved in sterile filtered dH2O, divided into 100 μl aliquots and stored at -20°C until use. Drug stocks were thawed before application by pipette (50 μl volume) directly to the MEA recording chamber to achieve the desired final bath concentration. Application of vehicle (50 μl dH2O; n = 6; data not shown) produced no significant changes to any of the activity measures employed. In all cases following drug application, an equilibration period of 10 minutes was observed prior to electrophysiological recording.


Developmental differences in spontaneous neuronal activity

Primary cortical cultures display complex spontaneous spike firing patterns with considerable developmental variation [17] that is subserved by a variety of neuronal cell types including principal glutamatergic neurons, GABAergic interneurons and glial types [14, 17]. Consequently, and prior to undertaking investigations of cholinergic responsiveness, we developmentally characterised spontaneous neuronal activity exhibited by these cultures (Tables 1 & 2).
Table 2

Electrophysiological measures of spiking and bursting activity from mature and immature cortical cultures


Spikes per channel during global bursts

Spikes on all channels during global burst

Active channels during global bursts

Burst duration (channel; ms)

Burst duration (global; ms)



Mean ± SEM


Mean ± SEM


Mean ± SEM


Mean ± SEM


Mean ± SEM



13 ± 1*


264 ± 43


19 ± 2*


50 ± 5


140 ± 8*



11 ± 1


140 ± 22


12 ± 1


40 ± 3


100 ± 1


In-burst ISI (ms)

Overall ISI (ms)

Proportion of spikes in bursts (%)

Inter-burst interval (s)



Mean ± SEM


Mean ± SEM


Mean ± SEM


Mean ± SEM




4.6 ± 0.5


33 ± 4


56 ± 6.5


7.3 ± 2.0




4 ± 0.3


44 ± 4


58 ± 4.8


5.1 ± 1.5


Data are presented as minima and maxima ranges and means ± SEM. ‘m’ and ‘i’ represent mature and immature cultures respectively (see Methods). * indicates significant differences (P ≤ 0.05) between mature and immature cultures for a given measure.

Both immature (‘i’; Figure 1Ai) and mature (‘m’; Figure 1Bi) cultures spontaneously exhibited variable duration bursts, containing ~50% of spiking events observed and separated by variable inter-burst intervals during which sparse tonic firing was evident (Figures 1Aii and 1Bii). Bursts typically consisted of an initial large amplitude compound spike followed by a variable duration train of mixed amplitude events. Immature cultures exhibited spontaneous activity on a significantly larger number of channels, generated significantly more spikes during significantly longer global bursts consistent with a higher level of overall network excitability (Table 2). No other significant differences between mature and immature cultures were found, although it is notable that the considerable variability observed between cultures (‘Range’ in Table 2) would hinder such comparisons. Thus, culture responses to pharmacological treatment reported hereafter are expressed as percentage changes from starting control values. However, these data confirm that spontaneous neuronal activity exhibited by the cultures employed in the present study is comparable to that previously reported [16, 17, 50].
Figure 1

Representative spontaneous neuronal activity exhibited by (A) immature and (B) mature cortical cultures recorded via MEA under control conditions. (i) Array-wide neuronal activity. (ii) An extended period of spontaneous neuronal activity (160 s) recorded from a single channel. (iii) An expanded single channel trace obtained from the period indicated by a star in ii. (iv) Expanded burst events from the left and (v) right star in iii. Superimposed black sections within grey bars represent bursts identified within the raw traces shown by the adapted SIMMUX algorithm. Note that neural activity was generally more evident across the array channels in the immature culture.

mAChR agonist-induced changes in spontaneous activity

Spontaneous neuronal firing by mature (DIV 40-57) primary cortical cultures on MEAs has been reported to desynchronize in response to application of the non-hydrolysable mAChR agonist, carbachol [13, 51]. In order to confirm comparable responsiveness in the cultures employed here, to further elucidate the contribution of mAChR-mediated modulation to spontaneous neuronal activity and assess possible developmental changes in cholinergic responsiveness, the effects of the non-hydrolysable mAChR agonist, OXO-M were first assessed (Figure 2).
Figure 2

Representative spontaneous neuronal activity exhibited by (A) immature and (B) mature cortical cultures recorded via MEA in control and following application of the mAChR agonist, OXO-M (10 μM). (i) 100 s of spontaneous neuronal activity occurring on a single channel, where the left and right asterisks indicate periods later expanded to show a long (ii) and short burst (iii) respectively. (iv) ~50 s of activity following application of OXO-M, showing occurrence of bursting and (iv.a) asynchronous mixed tonic and bursting activity types. (v) Expanded period indicated by asterisk in iv. (vi) Array-wide neuronal activity in control conditions and (vii) following addition of OXO-M. Note the appearance of burst events on several channels in OXO-M, in both mature and immature cultures.

In both immature (Figure 2Ai-vii) and mature (Figure 2Bi-vii) cultures, OXO-M (10 μM) caused changes in spontaneous spike firing characterised by a transition to highly organised and reproducible global bursts, continuous tonic firing with transient increases in firing frequency or a mixture of these two activity types. Analysis of the culture ages at which these three activity types manifested revealed that OXO-M caused tonic firing in mature cultures but burst firing in immature cultures (Figure 3A). Whilst OXO-M elicited classical bursting activity separated by periods of quiescence during which little or no tonic activity was evident (Figure 2Aiv) from immature cultures, it is notable that the predominantly asynchronous tonic firing it caused in mature cultures also included transient, multiple channel, firing frequency increases at intervals consistent with burst event incidence seen under control conditions (Figure 2Bi). Thus, for the comparative analysis undertaken here, such increases in mature cultures are categorised as burst events.
Figure 3

Developmental differences in the effect of mAChR activation on spontaneous neuronal activity recorded from cortical cultures via MEA. (A) The relationship between culture developmental stage (DIV) and firing type following mAChR activation by 10 μM OXO-M. Outer box bottom = 25th percentile, top = 75th percentile, error bars bottom = 5th percentile, top = 95th percentile, central line = median, central square = mean. B) Network spike profile (see Table 1) for immature (grey) and mature (black) cultures presented as normalised change to network spiking rate vs control following mAChR activation. t0 = time bin at which maximum firing rate was detected.

Interestingly, quantification of the effects of OXO-M upon the neuronal firing measures employed revealed changes in immature and mature cultures that were consistent in their direction but not extent. Here, in mature cultures, OXO-M significantly increased ISI (overall and in-burst), reduced the proportion of spiking activity occurring in bursts and the number of involved channels despite concomitant increases in channel and global burst durations (Figure 4).
Figure 4

Steady-state acetylcholine receptor ligand-induced changes to spiking and bursting measures expressed as percentage change from starting control values. * = P ≤ 0.05, ** = P ≤ 0.01, *** = P ≤ 0.001 and † = a statistically strong trend (P ≤ 0.1) for comparisons vs starting controls. “red square symbol”, “green square symbol” and ■ summarise significant (P ≤ 0.05) increases, decreases or no change (P > 0.05) vs control respectively.

Notably, whilst OXO-M affected the activity measures obtained from immature cultures in the same direction (Figure 4), only strong trends to differ from control (P ≤ 0.1) were found which suggest an attenuated mAChR-mediated response in immature (c.f. mature) cultures. Such similarities in the direction of OXO-M-induced changes could initially appear contradictory when set beside the gross developmental differences between bursting (immature) and tonic firing (mature) activities observed (Figure 3A). However, the underlying reasons for this can be most clearly visualised via network spike profiles [16, 17, 51] (Figure 3B; see Methods) since OXO-M significantly (P ≤ 0.05) increased mean network spike rate during non-bursting periods in mature, but not immature cultures. This specific developmental difference which occurred outside of burst events notwithstanding, OXO-M-induced changes in activity during bursts did not differ from control for either immature or mature cultures (Figure 3B). Finally, contrary to the typically attenuated muscarinic responsiveness seen in immature cultures, OXO-M significantly increased spike amplitude when compared with control conditions in immature (P ≤ 0.05) but not mature cultures (m: 0 ± 2%, i: 10 ± 3%). However, care should be taken with interpretation of such changes since the diverse neuronal types (each with different intrinsic firing properties) present in cultures make drug-induced changes to mixed population means not amenable to detailed insight. Thus, whilst the above result may represent a greater propensity for postsynaptic mAChR modulation of excitability in immature cultures [37] further study using single cell recording and/or spike sorting approaches would be required to fully elucidate the importance of this finding. Overall, these data not only confirm the presence of functional mAChRs capable of significant modulation of neuronal excitability consistent with that previously characterised in in vitro and in vivo CNS preparations [37, 38, 52] but also reveal interesting developmental changes to such responsiveness.

Endogenous cholinergic tone

Whilst the responses to OXO-M demonstrate the presence of functional mAChRs and concur with previously presented results [13, 51], the presence of sufficient endogenous ACh to modulate basal spontaneous neuronal activity in cortical cultures has not been demonstrated. Consequently, we employed immunohistochemical and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) methods to investigate the presence of ACh-producing and AChR-expressing cells in our cultures.

Morphologically diverse cells from both immature and mature cultures showed robust immunoreactivity for the TrkA antibody (Figure 5A) on the cell surface and within the cytosol (Figure 5Ai; ~95% of TrkA-expressing cells co-express choline acetyltransferase (ChAT) [45]). Cultures also expressed M1 and M2 mAChRs as well as α7-containing nAChRs (Figure 5B-F) where strong M1 and M2 mAChR expression was found on somata surfaces, apical dendrites and throughout the dendritic tree for a number of morphologically distinct cell types (Figure 5B-E). In contrast, α7 containing nAChRs were strongly expressed at somata surfaces and the initial apical dendrite for a number of cellular morphologies (Figure 5Fi-iv) but showed only limited punctate expression in dendritic trees and within the neuropil (Figure 5Eiv; arrows). RNA extracted from cultures contained both TrkA and ChAT mRNA (Figure 5G) although no significant differences in expression levels were found between immature and mature cultures (TrkA RT-PCR cycle times m: 11.1 ± 1.1; i: 9.4 ± 0.5, ChAT RT-PCR cycle times m: 12.3 ± 0.6; i: 12.4 ± 0.2; P > 0.05 for m vs i for TrkA and ChAT). These results support the presence of both ACh-producing cells and differentially-expressed muscarinic and nicotinic AChRs within the neuronal population comprising these cortical cultures.
Figure 5

Immunohistochemical and RT PCR studies confirm the presence of TrkA in mature and immature cortical cultures alongside α7-containing nAChRs and m2 mAChRs. Fluorescence image of TrkA-immunoreactivity (green; see arrows) co-stained with neuron-specific ß-tubulin (red) and DNA nuclear stain Hoechst 33342 (blue) in mature (A) and immature (B) cultures. (C) Confocal image of TrKA localised to both the cytosol (upper arrow) and on the surface of a different cell located at a lower level in the Z-stack (lower arrow) in a mature culture. (D&E) Co-localisation of m2 mAChR (red) and m1 mAChRs (green) showing relatively higher levels of m1 mAChR expression along the apical dendrite (arrows) and general expression throughout the neuropil in a mature culture. (F i-iv) Confocal images of α7-containing nAChR positive cells (green) demonstrating the high level of α7-containing nAChR expression both on the soma and apical dendrite but limited punctate expression throughout the dendritic tree (Fiv arrows) and labelled with beta tubulin in (ii) in a mature culture. (G) Electrophoresis of RT PCR products shows corresponding bands at 143 (TrkA) and 147 (ChAT) and 244 (ß-actin) in both mature cultures and rat medial septum tissue positive control.

mAChR-mediated effects of endogenous ACh upon spontaneous spike firing activity

Given that our immunohistochemical and RT-qPCR results support the presence of intrinsic ACh-producing neurons in the cultures, we next investigated the effects of the mAChR-selective antagonist atropine alone (1 μM) upon spike firing measures, to pharmacologically establish whether endogenously-released ACh concentrations had attained functionally relevant levels that could affect spontaneous neuronal activity.

In both immature (Figure 6A) and mature (Figure 6B) cultures, atropine produced a clear change from the previously described heterogenous (mixed tonic and bursting) spontaneous activity in control conditions to regularly spaced, spontaneous burst events of uniform duration and a concurrent reduction of asynchronous tonic activity. Interestingly and like OXO-M, atropine significantly increased spike amplitude when compared with control conditions in immature (P ≤ 0.05) but not mature cultures (m: 3 ± 4%, i: 50 ± 21%). For the previously noted reasons this finding was not amenable to further interpretation but could arise from reduced use-dependent accommodation of spike amplitude [37] consistent with the reduced spike rates reported hereafter. The developmental difference in response to mAChR blockade is best illustrated by the network spike profile where significant changes to the temporal distribution of in-burst spiking activity in immature (P ≤ 0.05), but not mature cultures were seen (Figure 7A). Notably, whilst atropine reduced in-burst spike rate in immature cultures compared to control conditions (Figure 7A), the paucity of tonic spiking between bursts is not only consistent with the significantly increased proportion of spiking events associated with bursts but also the significant reduction in overall ISI (Figure 4).
Figure 6

Representative spontaneous neuronal activity exhibited by (A) immature and (B) mature cortical cultures following the addition of the mAChR antagonist, atropine (1 μM) and recorded via MEA. (i) Spontaneous neuronal activity (100 s) recorded from a single channel. Left and right periods highlighted by an asterisk are expanded to show a long (ii) and short bursts (iii) respectively. (iv) Spontaneous neuronal activity (100 s) following atropine application where the period indicated by an asterisk is shown expanded in (v). (vi) Array-wide neuronal activity in control conditions and (vii) following addition of atropine. Atropine converted irregular firing in control conditions into synchronised burst firing for both mature and immature cultures.
Figure 7

mAChR blockade by atropine (1 μM) modulates spontaneous neuronal activity in cortical cultures recorded via MEA. (A) Network spike profile (see Table 1) for immature (grey) and mature (black) cultures presented as normalised change from control following mAChR blockade. (B) The effect of atropine upon the distribution of interburst intervals in immature (grey) and mature (black) cortical cultures. (C) The effect of atropine upon the number of spikes occurring on individual channels during bursting.

The regularity of bursting activity induced by mAChR blockade is further emphasised by significant atropine-induced changes to IBI distribution for both culture ages (P ≤ 0.05) where decreases in shorter IBIs (<5s; Figure 7B) in immature (but not mature) cultures were seen with concomitant increases in longer IBIs (~10s; Figure 7B) in both immature and mature cultures, manifesting as significant increases in mean IBI in both cases (Figure 4). Whilst mAChR blockade also significantly (P ≤ 0.05) affected the distribution of the number of spikes occurring in bursts on single channels in both immature and mature cultures (Figure 7C), the variability of responsiveness seen in immature cultures revealed a significant increase in both the overall number of spikes occurring within bursts and burst duration only in mature cultures (Figure 4). Finally, it is notable that mAChR blockade significantly increased the number of channels participating in global bursts in both immature and mature cultures (Figure 4).

In concert with the immunohistochemical and RT-qPCR results also presented, these effects of mAChR blockade support the presence of functionally significant (muscarinic) cholinergic tone, capable of modulating spontaneous neuronal activity in this preparation. In summary, mAChR blockade in both mature and immature cultures, induced a significant shift towards increasingly synchronised and invariant activity which manifested as highly regular burst events comprising more action potentials than present in control conditions.

nAChR-mediated effects of endogenous ACh upon spontaneous spike firing activity

The effects of the mAChR agonist OXO-M, confirmed the presence of functional mAChRs and immunohistochemical, RT-qPCR and mAChR pharmacological blockade supported the presence of sufficient endogenous cholinergic tone to modulate basal spontaneous activity via mAChRs. It was also of interest to examine whether functional nAChRs were also present in these cultures and whether their tonic activation by endogenous ACh could affect spontaneous spike firing. However, unlike the significant changes from control observed following mAChR blockade for the majority of measures employed (Figures 6 & 7; Figure 4), the effects of applying the nAChR-selective antagonist MEC (10 μM) were more limited (Figure 8). Thus, nAChR blockade only caused a significant decrease in burst duration for both immature and mature cultures and an increase in the proportion of spikes occurring in bursts for mature cultures only (Figure 4). Unlike, OXO-M and atropine, MEC had no significant effect upon spike amplitude when compared with control conditions in either immature or mature cultures (m: 3 ± 2%, i: 1 ± 1%; P > 0.05 vs control in each case).
Figure 8

Representative spontaneous neuronal activity exhibited by (A) immature and (B) mature cortical cultures following application of the nAChR antagonist, mecamylamine (10 μM; MEC). (i) Spontaneous neuronal activity (100 s) on a single channel where left and right asterisks indicate typical short and long bursts that are expanded in (ii) and (iii) respectively. (iv) Spontaneous activity (100 s) following mecamylamine application where the period indicated by an asterisk is shown expanded in (v). (vi) Array-wide neuronal activity in control conditions and (vii) following mecamylamine application. Note the limited effect of nAChR blockade (c.f. mAChR blockade; Figures 6 &7) such that only burst duration was significantly affected by mecamylamine (Figure 4).

Spontaneous neuronal activity in the absence of cholinergic modulation

Finally, to assess total ‘tonic’ cholinergic influences on spontaneous firing behaviour, all cultures were also treated with a combination of atropine (1 μM) plus MEC (10 μM) in order to block activation of both mAChRs and nAChRs (Figure 9). The results obtained were very consistent in direction and extent with those seen following the blockade of mAChRs alone (Figure 4; Figures 6 & 7) which is perhaps unsurprising given the limited effects caused by nAChR blockade alone (Figure 4 & Figure 8). The only notable differences in significant effects upon burst measures following mAChR plus nAChR blockade that were not seen following mAChR blockade alone were an increased proportion of spikes occurring within bursts in immature cultures and a decrease in in-burst ISI for both immature and mature cultures, although the direction of both changes were consistent with those seen following mAChR blockade alone (Figure 4).
Figure 9

Representative spontaneous neuronal activity recorded via MEA and exhibited by (A) mature and (B) immature cortical cultures following the blockade of all endogenous ACh effects by addition of atropine (1 μM) plus mecamylamine (10 μM; MEC). (i) Spontaneous neuronal activity (100 s) recorded in control conditions on a single channel where left and right asterisks indicate typical short and long bursts expanded in (ii) and (iii) respectively. (iv) Spontaneous neuronal activity (100 s) following atropine plus MEC application where left and right asterisks indicate typical short and long bursts expanded in (v). (vi) Array-wide spontaneous neuronal activity in control conditions and (vii) following addition of atropine plus MEC. Note the similarity between atropine plus MEC treatment and atropine treatment alone (Figure 6).

The network spike profile obtained following mAChR plus nAChR blockade (Figure 10A) again revealed changes in both immature and mature cultures that were comparable to those seen mAChR blockade alone (c.f. Figure 7) although, notably, unlike the latter condition, significant effects (P ≤ 0.05) upon the temporal distribution of spike firing were only seen in immature cultures, most likely due to the reduced variability of in-burst spike firing (Figure 7A vs Figure 10A).
Figure 10

The effect of mAChR and nAChR blockade on the network spike profile and the correlation between starting state and mAChR-mediated response. (A) Network spike profile (see Table 1) for immature (grey) and mature (black) cultures presented as normalised change vs. control following combined mAChR plus nAChR blockade by atropine (1 μM) and mecamylamine (10 μM) respectively. (B) The relationship between starting state and extent of change following mAChR activation by OXO-M (10 μM) in mature cultures where ■  = global burst duration and  = single channel burst duration.

Consistent with the dominance of muscarinic effects upon spike firing measures, mAChR plus nAChR blockade significantly increased spike amplitude in immature (P ≤ 0.05) but not mature cultures to an extent comparable to that seen following mAChR blockade alone (m: 3 ± 4%, i: 49 ± 21%).

Overall, these findings suggest a dominance of mAChR-mediated influences across the cellular population as a whole with nAChR-mediated modulation being less prevalent and possibly circuit specific.

Basal ACh levels affect agonist responsiveness

Interestingly, the consequences of applied mAChR agonist treatment upon some burst measures appeared to be related to the starting (control) amplitude of the measure for a given trial (Figure 10B) such that two notable examples of negative correlation were apparent in mature cultures. Cultures exhibiting lower starting values for a given measure typically exhibited the most substantial changes following mAChR activation, whilst those cultures with higher starting values exhibited little change following mAChR agonist application. This is suggestive of temporal and inter-culture variation in endogenous ACh-mediated activation of mAChRs that is not only consistent with intact tissue and/or in vivo ACh level fluctuations but also could be experimentally exploited. In addition, this relationship was found exclusively in mature cultures and therefore adds support to the previously described attenuated immature mAChR response.


This study has demonstrated, for the first time, the presence of significant, culture age-dependent, endogenous cholinergic tone in cortical cultures of embryonic origin that orchestrates a neuromodulatory role largely consistent with that reported in intact cortical networks in vitro[37, 38, 40, 5254] and in vivo[55]. This finding adds credence to the previously identified conservation of underlying cellular and network mechanisms in such preparations [1, 56] despite the absence of behaviourally relevant, environmental and genetic regulation. In summary, endogenous ACh activating mAChRs broadly modulated excitability and consequently determined spatiotemporal variability of activity whilst endogenous ACh effects upon nAChRs manifested as a more restricted, subtle, but significant modulation of excitability.

mAChR-mediated responsiveness

Whilst the spontaneous activity types exhibited by both immature and mature cultures in control conditions were both largely similar and consistent with previous reports [16, 17, 50], responsiveness developmentally diverged upon pharmacological modulation of cholinergic receptors.

Agonist-induced mAChR activation with OXO-M, altered control firing activity characterised primarily by global burst events interspersed with low levels of tonic activity, to either persistent asynchronous firing coupled with transient global firing frequency increases in mature cultures, or predominantly global bursting activity in immature cultures; these changes were consistent with effects of the mAChR agonist, carbachol, on cortical/MEA cultures reported by Tateno et al.[13, 51] and so importantly, support commonalities between these preparations.

The similar nature of these changes in activity to those seen in vivo and in acute brain slices in vitro in response to mAChR activation, are consistent with similar underlying ionic mechanisms; i.e. predominant increases in postsynaptic excitability via modulation of membrane K+ currents [5759] and non-selective cationic conductances [60] as well as generation of graded persistent activity through induction of slow post-stimulus afterdepolarizing potentials [46, 61]. Whilst the relationship between increased postsynaptic excitability and the appearance of asynchronous activity could initially appear contradictory, it could arise from a larger numbers of cells simultaneously entering a refractory period at any given time and thus preventing the cascade of activity through the network [62, 63].

In contrast to the persistent asynchronous activity observed in mature cultures following mAChR activation, immature cultures displayed periods of quiescence between bursts, unlike the sparse levels of tonic activity seen during control recordings. Interestingly, a comparable age-dependent differential consequence has been reported in acute piriform cortical brain slice neurons, where mAChR activation by OXO-M caused increases in spontaneous tonic firing activity in adult (>40 days post-natal) slices but elicited spontaneous epileptiform activity in immature (14-28 day post-natal) slices, characterised by clearly defined periods of high frequency bursting separated by periods of quiescence [37, 40]. Although we detected both M1 and M2 mAChRs in our cultures, it is not possible to assign pharmacological specificity to the effects on firing in mature vs immature neurons described here as this requires further investigation using subtype selective mAChR antagonists.

mAChR-mediated influence of endogenous ACh upon spontaneous spike firing activity

It is most likely that the presence of significant endogenous ACh release in cortical cultures has not previously been considered due to the exclusion of tissue containing cholinergic cell bodies (e.g. medial septum) during the preparation of cortical/forebrain tissue for culture. However, several studies support mechanisms from which physiologically significant levels of neuromodulatory transmitters can arise in cortical cultures which include environmentally-dependent progenitor differentiation into neuromodulatory phenotypes [64, 65] and the presence of intrinsic cholinergic cells and synapses within rat cerebral cortex itself [66]. Here, we confirmed the presence of ChAT and TrkA mRNA and the distribution of TrkA- expressing cells [45] along with the presence of M1 and M2 mAChRs and α7 nAChRs.

Blockade of the effects of mAChR-mediated endogenous cholinergic tone by atropine significantly increased excitability within global bursts and their regularity, suggesting that high tonic ACh levels could underlie the observed variability within the temporal structures of both burst and tonic spontaneous neuronal activity (Figures 3vs6). We thus propose that the regularity of spontaneous neuronal activity exhibited by cultures in the absence of mAChR-mediated contributions could be attributed to comparable mechanisms as those in vivo, although tempered by the highly connected nature of cultures. In addition, increased synchronous neuronal activation following mAChR blockade could arise from the removal of tonic mAChR-mediated presynaptic inhibition of excitatory neurotransmitter release [40, 67]. Accordingly, such presynaptic disinhibition would result in the entraining of the majority of units during a global burst and so concomitantly synchronise the refractory periods of involved units which could underlie the reduced variability in burst timing [55, 68]. It is notable that a previous investigation of mAChR agonist effects upon cortical cultures [13, 51] reported that atropine (10 μM) application in the continued presence of the mAChR agonist muscarine (20 μM) inconsistently abolished spontaneous activity, although the application of atropine alone did not. This is in contrast to the results presented here where the effects of mAChR agonist plus antagonist and the application of antagonist alone did not significantly differ. It is uncertain whether this difference between studies is a result of differences between the muscarinic agonists used or the high concentration of atropine they applied, exerting non-specific effects (10 μM; [69]). Alternatively, the variability in responsiveness reported by Tateno et al.[13, 51] could suggest a potentially high degree of variability in presence or level of endogenous cholinergic ‘tone’ under the conditions employed.

nAChR-mediated responsiveness

The significant decreases observed in both channel and global burst durations, coupled with a concomitant reduction in the number of spikes occurring outside burst events in the presence of the nAChR antagonist MEC, suggests a predominantly excitatory role for nAChRs in these preparations. The more limited influence of nAChRs, in comparison to the more extensive mAChR network influence, suggests that the effects of nAChR activation may be restricted to a subset of neural circuits as found in vivo[70]. However, the combination of network mapping using high spatial resolution recording techniques such as calcium imaging, or high resolution MEAs, would be required to confirm this.

Finally, the distribution of α7-containing nAChRs appeared relatively limited throughout the dendritic tree relative to the ultrastructural location of nAChRs in vivo[71]. However, as nAChRs are preferentially expressed on neurons processing afferent sensory information in vivo[72, 73], the differences seen in culture may be a product of the lack of afferent sensory input [74] and would make a comparison of nAChR levels and distribution following artificially introduced re-afferentation [75] of considerable interest. It is also worth noting that acetylcholinesterase (AChE) is expressed in primary cortical cultures [76, 77]; a comparison of the effects of atropine and MEC described above, with those of an AChE inhibitor such as neostigmine would also be worthwhile (c.f.[38]).

Implications for the cortical cell culture model and their use in animat paradigms

As previously described, cultures exhibiting mixed (tonic and bursting) activity would be more representative of activity observed in intact cortex and therefore provide a more suitable substrate not only for conventional studies (see Background) but especially as a driver for neural animat paradigms. The results presented here suggest that the cholinergic system is an attractive target for such an improvement in addition to providing opportunities to influence mAChR- and/or nAChR-mediated effects upon synaptic plasticity [7881]; a core feature in such studies that has thus far been unreliable in this preparation type [14]. Moreover, if endogenous ACh levels are indeed temporally variable (Figure 9B) as our results suggest, such intrinsic variation also presents an attractive feature for exploitation by animat implementations since periods of ‘attention’ (during training stimulation) and ‘consolidation’ (after training stimulation) are necessary and so could be conducted during periods of ‘high’ and ‘low’ cholinergic tone respectively.


In conclusion, we propose that the presence of an intact cholinergic system which exerts tonic effects upon neuronal activity in this preparation make it well suited to exploitation in animat and related paradigms by offering a physiologically relevant target for controlling neuronal excitability, modifying information flow, increasing physiological relevance and improving experimental reproducibility [56, 82]. In summary, the expression of endogenous cholinergic tone and age-dependent developmental changes in cholinergic responsiveness in cortical cultures support the use of such cultures as physiologically useful models for the study of neural-robotic interfaces and other more conventional applications, and should not only be considered but actively exploited and further explored.







Choline acetyltransferase


Central nervous system


Days in vitro


Deoxyribonucleic acid


Deoxynucleoside triphosphates


Eagle’s minimum essential medium




Long term potentiation




Muscarinic acetycholine receptor


Metabotropic glutamate receptor




Multi-electrode array


Mecamylamine (nicotine hydrogen tartrate salt)


Nicotinic acetylcholine receptor


Oxotremorine methiodide


Phosphate buffered saline


Ribonucleic acid


Reverse transcription quantitative polymerase chain reaction


Slow after-depolarizing potential


Tyrosine kinase A.See also Table 1 for the list of abbreviations used to denote electrophysiological measures employed and their definitions.



This work was funded by the Engineering and Physical Sciences Research Council (EP/D080134/1). The authors thank Prof. P. Knight, Dr M. A. N. Rattray and Dr A. Spilsbury for invaluable assistance with immunocytochemical and RT-qPCR aspects of the work and Dr G. J. Stephens for valuable contributions to the interpretation of our findings. The tyrosine kinase primary antibody was the kind gift of Prof. L. Reichardt, University of California.

Authors’ Affiliations

School of Chemistry, Food and Nutritional Sciences and Pharmacy, University of Reading, Whiteknights
School of Systems Engineering, University of Reading, Whiteknights
UCL School of Pharmacy


  1. Stichel CC, Müller HW: Dissociated cell culture of rat cerebral cortical neurons in serum-free, conditioned media: GABA-immunopositive neurons. Developmental Brain Research. 1991, 64: 145-154. 10.1016/0165-3806(91)90218-8.View ArticlePubMed
  2. Hirano T, Kasano K: Spatial distribution of excitatory and inhibitory synapses on a Purkinje cell in a rat cerebellar culture. J Neurophysiol. 1993, 70: 1316.PubMed
  3. Lin YC, Huang ZH, Jan I: Development of excitatory synapses in cultured neurons dissociated from the cortices of rat embryos and rat pups at birth. J Neurosci Res. 2002, 67: 484-493. 10.1002/jnr.10077.View ArticlePubMed
  4. Valor LM, Charlesworth P, Humphreys L, Anderson CNG, Grant SGN: Network activity-independent coordinated gene expression program for synapse assembly. PNAS. 2007, 104: 4658-4663. 10.1073/pnas.0609071104.PubMed CentralView ArticlePubMed
  5. Chiappalone M, Bove M, Vato A, Tedesco M, Martinoia S: Dissociated cortical networks show spontaneously correlated activity patterns during in vitro development. Brain Res. 2006, 1093 (1): 41-53. 10.1016/j.brainres.2006.03.049.View ArticlePubMed
  6. Xiang G, Pan L, Huang L, Yu Z, Song X, Cheng J, Xing W, Zhou Y: Microelectrode array-based system for neuropharmacological applications with cortical neurons cultured in vitro. Biosens Bioelectron. 2007, 22 (11): 2478-2484. 10.1016/j.bios.2006.09.026.View ArticlePubMed
  7. Choi DW, Koh JY, Peter S: Pharmacology of glutamate neurotoxicity in cortical cell culture: attenuation by NMDA antagonists. J Neurosci. 1988, 8: 185.PubMed
  8. Hogberg HT, Sobanski T, Novellino A, Whelan M, Weiss DG, Bal-Price AK: Application of micro-electrode arrays (MEAs) as an emerging technology for developmental neurotoxicity: evaluation of domoic acid-induced effects in primary cultures of rat cortical neurons. Neurotoxicology. 2011, 32 (1): 158-168. 10.1016/j.neuro.2010.10.007.View ArticlePubMed
  9. Kim MJ, Oh SJ, Park SH, Kang HJ, Won MH, Kang TC, Park JB, Kim JI, Kim J, Lee JY: Neuronal loss in primary long-term cortical culture involves neurodegeneration-like cell death via calpain and p35 processing, but not developmental apoptosis or aging. Exp Mol Med. 2007, 39: 14-10.1038/emm.2007.3.View ArticlePubMed
  10. Jimbo Y, Tateno T, Robinson H: Simultaneous induction of pathway-specific potentiation and depression in networks of cortical neurons. Biophys J. 1999, 76: 670-678. 10.1016/S0006-3495(99)77234-6.PubMed CentralView ArticlePubMed
  11. Marom S, Shahaf G: Development, learning and memory in large random networks of cortical neurons: lessons beyond anatomy. Q Rev Biophys. 2002, 35: 63-87.View ArticlePubMed
  12. Eytan D, Brenner N, Marom S: Selective adaptation in networks of cortical neurons. J Neurosci. 2003, 23 (28): 9349-9356.PubMed
  13. Tateno T, Jimbo Y, Robinson HPC: Spatio-temporal cholinergic modulation in cultured networks of rat cortical neurons: spontaneous activity. Neuroscience. 2005, 134: 425-437. 10.1016/j.neuroscience.2005.04.049.View ArticlePubMed
  14. Wagenaar DA, Pine J, Potter SM: Searching for plasticity in dissociated cortical cultures on multi-electrode arrays. J Negat Results Biomed. 2006, 5: 16-10.1186/1477-5751-5-16.PubMed CentralView ArticlePubMed
  15. Chiappalone M, Massobrio P, Martinoia S: Network plasticity in cortical assemblies. Eur J Neurosci. 2008, 28 (1): 221-237. 10.1111/j.1460-9568.2008.06259.x.View ArticlePubMed
  16. Van Pelt J, Wolters PS, Corner MA, Rutten WL, Ramakers GJ: Long-term characterization of firing dynamics of spontaneous bursts in cultured neural networks. IEEE Trans Biomed Eng. 2004, 51: 2051-2062. 10.1109/TBME.2004.827936.View ArticlePubMed
  17. Wagenaar DA, Pine J, Potter SM: An extremely rich repertoire of bursting patterns during the development of cortical cultures. BMC Neurosci. 2006, 7: 11-10.1186/1471-2202-7-11.PubMed CentralView ArticlePubMed
  18. Prince DA: Neurophysiology of epilepsy. Annu Rev Neurosci. 1978, 1: 395-415. 10.1146/ ArticlePubMed
  19. Ben-Ari Y: Developing networks play a similar melody. Trends Neurosci. 2001, 24: 353-360. 10.1016/S0166-2236(00)01813-0.View ArticlePubMed
  20. Verzeano M: Activity of cerebral neurons in the transition from wakefulness to sleep. Science. 1956, 124: 366-367. 10.1126/science.124.3217.366.View ArticlePubMed
  21. Quiroga Q, Nadasdy Z, Ben-Shaul Y: Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering. Neural Comput. 2004, 16 (8): 1661-1687. 10.1162/089976604774201631.View ArticlePubMed
  22. Gullo F, Maffezzoli A, Dossi E, Wanke E: Short-latency cross-and autocorrelation identify clusters of interacting cortical neurons recorded from multi-electrode array. J Neurosci Methods. 2009, 181: 186-198. 10.1016/j.jneumeth.2009.05.003.View ArticlePubMed
  23. DeMarse TB: The neurally controlled animat: biological brains acting with simulated bodies. Auton Robots. 2001, 11: 305-310. 10.1023/A:1012407611130.PubMed CentralView ArticlePubMed
  24. Bakkum DJ, Shkolnik AC, Ben-Ary G, Gamblen P, DeMarse TB, Potter SM: Removing Some 'A' from AI: Embodied Cultured Networks. proceeding of: Ad-Hoc, Mobile, and Wireless Networks, Second International Conference. 2003, Montreal, Canada: ADHOC-NOW 2003, Proceedings
  25. Chao ZC, Bakkum DJ, Potter SM: Shaping embodied neural networks for adaptive goal-directed behavior. PLoS Comput Biol. 2008, 4 (3): e1000042-10.1371/journal.pcbi.1000042.PubMed CentralView ArticlePubMed
  26. Martinoia S, Sanguineti V, Cozzi L, Berdondini L, Van Pelt J, Tomas J, Le Masson G, Davide F: Towards an embodied in vitro electrophysiology: the NeuroBIT project. Neurocomputing. 2004, 58: 1065-1072.View Article
  27. Cozzi L, D’Angelo P, Chiappalone M, Ide A, Novellino A, Martinoia S, Sanguineti V: Coding and decoding of information in a bi-directional neural interface. Neurocomputing. 2005, 65: 783-792.View Article
  28. Hayashi I, Taguchi T, Kudoh SN, Takatsuki J, Ikeda J: Learning and memory in living neuronal networks connected to moving robot International Symposium on Advanced Intelligent Systems. 2007, Korea: Sokcho, 79-81.
  29. Xydas D, Norcott DJ, Warwick K, Whalley BJ, Nasuto SJ, Becerra VM, Hammond MW, Downes J, Marshall S: Architecture for neuronal cell control of a mobile robot. Springer Tracts in Advanced Robotics. 2008, 44: 23-31. 10.1007/978-3-540-78317-6_3.View Article
  30. Pizzi R, Rossetti D, Cino G, Marino D: A cultured human neural network operates a robotic actuator. Biosystems. 2009, 95: 137-144. 10.1016/j.biosystems.2008.09.006.View ArticlePubMed
  31. Bakkum DJ, Chao ZC, Gamblen P, Ben-Ary G, Shkolnik AG, DeMarse TB, Potter SM: Embodying cultured networks with a robotic drawing arm. Conf Proc IEEE Eng Med Biol Soc. 2007, 2007: 2996-2999.PubMed
  32. Furshpan E, Potter D: Seizure-like activity and cellular damage in rat hippocampal neurons in cell culture. Neuron. 1989, 3: 199-207. 10.1016/0896-6273(89)90033-0.View ArticlePubMed
  33. Herrero MT, Oset-Gasque MJ, Cañadas S, Vicente S, González MP: Effect of various depolarizing agents on endogenous amino acid neurotransmitter release in rat cortical neurons in culture. Neurochem Int. 1998, 32 (3): 257-264. 10.1016/S0197-0186(97)00088-0.View ArticlePubMed
  34. Mangan PS, Kapur J: Factors underlying bursting behavior in a network of cultured hippocampal neurons exposed to zero magnesium. J Neurophysiol. 2004, 91 (2): 946-957.PubMed CentralView ArticlePubMed
  35. Corner MA, Baker RE, van Pelt J: Homeostatically regulated spontaneous neuronal discharges protect developing cerebral cortex networks from becoming hyperactive following prolonged blockade of excitatory synaptic receptors. Brain Res. 2006, 1106 (1): 40-45. 10.1016/j.brainres.2006.05.026.View ArticlePubMed
  36. Jones NA, Glyn SE, Akiyama S, Hill TD, Hill AJ, Weston SE, Burnett MD, Yamasaki Y, Stephens GJ, Whalley BJ, Williams CM: Cannabidiol exerts anti-convulsant effects in animal models of temporal lobe and partial seizures. Seizure. 2012, 21 (5): 344-352. 10.1016/j.seizure.2012.03.001.View ArticlePubMed
  37. Whalley BJ, Postlethwaite M, Constanti A: Further characterization of muscarinic agonist-induced epileptiform bursting activity in immature rat piriform cortex, in vitro. Neuroscience. 2005, 134: 549-566. 10.1016/j.neuroscience.2005.04.018.View ArticlePubMed
  38. Aitchison E, Weston SE, Constanti A, Whalley BJ: Anticholinesterase-induced epileptiform activity in immature rat piriform cortex slices, in vitro. Neurosci Lett. 2010, 473 (3): 252-256. 10.1016/j.neulet.2010.02.060.View ArticlePubMed
  39. Turski L, Ikonomidou C, Turski WA, Bortolotto ZA, Cavalheiro EA: Review: cholinergic mechanisms and epileptogenesis. The seizures induced by pilocarpine: a novel experimental model of intractable epilepsy. Synapse. 1989, 3: 154-171. 10.1002/syn.890030207.View ArticlePubMed
  40. Whalley BJ, Constanti A: Developmental changes in presynaptic muscarinic modulation of excitatory and inhibitory neurotransmission in rat piriform cortex in vitro: Relevance to epileptiform bursting susceptibility. Neuroscience. 2006, 140: 939-956. 10.1016/j.neuroscience.2006.02.046.View ArticlePubMed
  41. Hasselmo ME: Neuromodulation and cortical function: modeling the physiological basis of behavior. Behav Brain Res. 1995, 67: 1-27. 10.1016/0166-4328(94)00113-T.View ArticlePubMed
  42. Barik J, Wonnacott S: Molecular and cellular mechanisms of action of nicotine in the CNS. Handb Exp Pharmacol. 2009, 192: 173-207. 10.1007/978-3-540-69248-5_7.View ArticlePubMed
  43. Potter SM, DeMarse TB: A new approach to neural cell culture for long-term studies. J Neurosci Methods. 2001, 110: 17-24. 10.1016/S0165-0270(01)00412-5.View ArticlePubMed
  44. Wagenaar DA, DeMarse TB, Potter SM: MeaBench: a toolset for multi-electrode data acquisition and on-line analysis Neural Engineering, 2005. 2nd International IEEE EMBS. 2005, 518-521.
  45. Sobreviela T, Clary DO, Reichardt LF, Brandabur MM, Kordower JH, Mufson EJ: TrkA-immunoreactive profiles in the central nervous system: colocalization with neurons containing p75 nerve growth factor receptor, choline acetyltransferase, and serotonin. J Comp Neurol. 1994, 350 (4): 587-611. 10.1002/cne.903500407.PubMed CentralView ArticlePubMed
  46. Constanti A, Bagetta G, Libri V: Persistent muscarinic excitation in guinea-pig olfactory cortex neurons: involvement of a slow post-stimulus afterdepolarizing current. Neuroscience. 1993, 56 (4): 887-904. 10.1016/0306-4522(93)90135-3.View ArticlePubMed
  47. Libri V, Constanti A, Zibetti M, Postlethwaite M: Metabotropic glutamate receptor subtypes mediating slow inward tail current (IADP) induction and inhibition of synaptic transmission in olfactory cortical neurones. Br J Pharmacol. 1997, 120 (6): 1083-1095. 10.1038/sj.bjp.0701021.PubMed CentralView ArticlePubMed
  48. Chiappalone M, Novellino A, Vajda I, Vato A, Martinoia S, van Pelt J: Burst detection algorithms for the analysis of spatio-temporal patterns in cortical networks of neurons. Neurocomputing. 2005, 65–66: 653-662.View Article
  49. Xydas D, Warwick K, Nasuto SJ, Downes J, Spencer M, Hammond M, Becerra V, Whalley BJ: Revealing ensemble state transition patterns in multi-electrode neuronal recordings using hidden Markov models. IEEE Trans Neural Syst Rehabil Eng. 2011, 19 (4): 345-355.View ArticlePubMed
  50. Tateno T, Jimbo Y: Activity-dependent enhancement in the reliability of correlated spike timings in cultured cortical neurons. Biol Cybern. 1999, 80: 45-55. 10.1007/s004220050503.View ArticlePubMed
  51. Tateno T, Jimbo Y, Robinson HPC: Spatio-temporal cholinergic modulation in cultured networks of rat cortical neurons: evoked activity. Neuroscience. 2005, 134: 439-448. 10.1016/j.neuroscience.2005.04.055.View ArticlePubMed
  52. McCormick DA, Prince DA: Mechanisms of action of acetylcholine in the guinea-pig cerebral cortex in vitro. J Physiol. 1986, 375: 169-194.PubMed CentralView ArticlePubMed
  53. Barkai E, Bergman RE, Horwitz G, Hasselmo ME: Modulation of associative memory function in a biophysical simulation of rat piriform cortex. J Neurophysiol. 1994, 72: 659-677.PubMed
  54. Klink R, Alonso A: Muscarinic modulation of the oscillatory and repetitive firing properties of entorhinal cortex layer II Neurons. J Neurophysiol. 1997, 77: 1813-1828.PubMed
  55. McCormick DA, Contreras D: On the cellular and network bases of epileptic seizures. Ann Rev Physiol. 2001, 63: 815-846. 10.1146/annurev.physiol.63.1.815.View Article
  56. Ayali A, Fuchs E, Zilberstein Y, Robinson A, Shefi O, Hulata E, Baruchi I, Ben-Jacob E: Contextual regularity and complexity of neuronal activity: from stand-alone cultures to task-performing animals. Complexity. 2004, 9: 25-32.View Article
  57. Constanti A, Sim JA: Calcium-dependent potassium conductance in guinea-pig olfactory cortex neurones in vitro. J Physiol. 1987, 387: 173-194.PubMed CentralView ArticlePubMed
  58. Madison DV, Lancaster B, Nicoll RA: Voltage clamp analysis of cholinergic action in the hippocampus. J Neurosci. 1987, 7: 733-741.PubMed
  59. Womble MD, Moises HC: Muscarinic inhibition of M-current and a potassium leak conductance in neurones of the rat basolateral amygdala. J Physiol. 1992, 457: 93-114.PubMed CentralView ArticlePubMed
  60. Haj-Dahmane S, Andrade R: Muscarinic activation of a voltage-dependent cation nonselective current in rat association cortex. J Neurosci. 1996, 16 (12): 3848-3861.PubMed
  61. Major G, Tank D: Persistent neural activity: prevalence and mechanisms. Curr Opin Neurobiol. 2004, 14: 675-684. 10.1016/j.conb.2004.10.017.View ArticlePubMed
  62. Latham PE, Richmond BJ, Nelson PG, Nirenberg S: Intrinsic dynamics in neuronal networks. I. Theory. J Neurophysiol. 2000, 83: 808-827.PubMed
  63. Latham PE, Richmond BJ, Nirenberg S, Nelson PG: Intrinsic dynamics in neuronal networks. II. Experiment. J Neurophysiol. 2000, 2000 (83): 828-835.
  64. Zhou J, Bradford HF, Stern GM: The stimulatory effect of brain-derived neurotrophic factor on dopaminergic phenotype expression of embryonic rat cortical neurons in vitro. Dev Brain Res. 1994, 81: 318-324. 10.1016/0165-3806(94)90318-2.View Article
  65. Markakis EA, Palmer TD, Randolph-Moore L, Rakic P, Gage FH: Novel neuronal phenotypes from neural progenitor cells. J Neurosci. 2004, 24 (12): 2886-2897. 10.1523/JNEUROSCI.4161-03.2004.PubMed CentralView ArticlePubMed
  66. Houser C, Crawford G, Salvaterra P, Vaughn J: Immunocytochemical localization of choline acetyltransferase in rat cerebral cortex: a study of cholinergic neurons and synapses. J Comparative Neurology. 1985, 234: 17-34. 10.1002/cne.902340103.View Article
  67. Sheridan RD, Sutor B: Presynaptic M1 muscarinic cholinoceptors mediate inhibition of excitatory synaptic transmission in the hippocampus in vitro. Neurosci Lett. 1990, 108: 273-278. 10.1016/0304-3940(90)90653-Q.View ArticlePubMed
  68. de Sevilla DF, Garduno J, Galvan E, Buno W: Calcium-activated afterhyperpolarizations regulate synchronization and timing of epileptiform bursts in hippocampal CA3 pyramidal neurons. J Neurophysiol. 2006, 96: 3028-3041. 10.1152/jn.00434.2006.View Article
  69. Behling RW, Yamane T, Navon G, Sammon MJ, Jelinski L: Measuring relative acetylcholine receptor agonist binding by selective proton nuclear magnetic resonance relaxation experiments. Biophys J. 1988, 53: 947-954. 10.1016/S0006-3495(88)83175-8.PubMed CentralView ArticlePubMed
  70. Kimura F: Cholinergic modulation of cortical function: a hypothetical role in shifting the dynamics in cortical network. Neurosci Res. 2000, 38: 19-26. 10.1016/S0168-0102(00)00151-6.View ArticlePubMed
  71. Fabian-Fine R, Skehel P, Errington ML, Davies HA, Sher E, Stewart MG, Fine A: Ultrastructural distribution of the {alpha}7 nicotinic acetylcholine receptor subunit in rat hippocampus. J Neurosci. 2001, 21: 7993-8003.PubMed
  72. Broide R, Robertson R, Leslie F: Regulation of alpha α7 nicotinic acetylcholine receptors in the developing rat somatosensory cortex by thalamocortical afferents. J Neurosci. 1996, 16: 2956.PubMed
  73. Khan IM, Wennerholm M, Singletary E, Polston K, Zhang L, Deerinck T, Yaksh TL, Taylor P: Ablation of primary afferent terminals reduces nicotinic receptor expression and the nociceptive responses to nicotinic agonists in the spinal cord. J Neurocytology. 2004, 33: 543-556. 10.1007/s11068-004-0516-6.View Article
  74. Aramakis VB, Metherate R: Nicotine selectively enhances NMDA receptor-mediated synaptic transmission during postnatal development in sensory neocortex. J Neurosci. 1998, 18: 8485-8495.PubMed
  75. Brewer GJ, Boehler MD, Ide AN, Wheeler BC: Chronic electrical stimulation of cultured hippocampal networks increases spontaneous spike rates. J Neurosci Methods. 2009, 184: 104-109. 10.1016/j.jneumeth.2009.07.031.PubMed CentralView ArticlePubMed
  76. Sawyer TW, Weiss MT: Parallel development of acetylcholinesterase in vivo and in primary neuron surface culture. Brain Res Dev Brain Res. 1993, 71 (1): 147-149. 10.1016/0165-3806(93)90115-Q.View ArticlePubMed
  77. Fodero LR, Mok SS, Losic D, Martin LL, Aguilar MI, Barrow CJ, Livett BG, Small DH: Alpha7-nicotinic acetylcholine receptors mediate an Abeta(1-42)-induced increase in the level of acetylcholinesterase in primary cortical neurones. J Neurochem. 2004, 88 (5): 1186-1193. 10.1046/j.1471-4159.2003.02296.x.View ArticlePubMed
  78. Calabresi P, Centonze D, Gubellini P, Bernardi G: Activation of M1-like muscarinic receptors is required for the induction of corticostriatal LTP. Neuropharmacology. 1999, 38: 323-326. 10.1016/S0028-3908(98)00199-3.View ArticlePubMed
  79. Shinoe T, Matsui M, Taketo M, Manabe T: Modulation of synaptic plasticity by physiological activation of M1 muscarinic acetylcholine receptors in the mouse hippocampus. J Neurosci. 2005, 25: 11194-11200. 10.1523/JNEUROSCI.2338-05.2005.View ArticlePubMed
  80. Luo L, Chen WH, Wang M, Zhu DM, She JQ, Ruan DY: Modulation of long-term potentiation by individual subtypes of muscarinic acetylcholine receptor in the rat dentate gyrus. Hippocampus. 2008, 18: 989-995. 10.1002/hipo.20461.View ArticlePubMed
  81. Rosato-Siri M, Cattaneo A, Cherubini E: Nicotine-induced enhancement of synaptic plasticity at CA3 and CA1 synapses requires GABAergic interneurons in adult anti-NGF mice. J Physiol. 2006, 576: 361-377. 10.1113/jphysiol.2006.114587.PubMed CentralView ArticlePubMed
  82. Fuchs E, Ayali A, Robinson A, Hulata E, Ben-Jacob E: Coemergence of regularity and complexity during neural network development. Dev Neurobiol. 2007, 67: 1802-1814. 10.1002/dneu.20557.View ArticlePubMed


© Hammond et al.; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.