Cellular elements for seeing in the dark: voltage-dependent conductances in cockroach photoreceptors
© Salmela et al.; licensee BioMed Central Ltd. 2012
Received: 3 April 2012
Accepted: 12 July 2012
Published: 6 August 2012
The importance of voltage-dependent conductances in sensory information processing is well-established in insect photoreceptors. Here we present the characterization of electrical properties in photoreceptors of the cockroach (Periplaneta americana), a nocturnal insect with a visual system adapted for dim light.
Whole-cell patch-clamped photoreceptors had high capacitances and input resistances, indicating large photosensitive rhabdomeres suitable for efficient photon capture and amplification of small photocurrents at low light levels. Two voltage-dependent potassium conductances were found in the photoreceptors: a delayed rectifier type (KDR) and a fast transient inactivating type (KA). Activation of KDR occurred during physiological voltage responses induced by light stimulation, whereas KA was nearly fully inactivated already at the dark resting potential. In addition, hyperpolarization of photoreceptors activated a small-amplitude inward-rectifying (IR) current mediated at least partially by chloride. Computer simulations showed that KDR shapes light responses by opposing the light-induced depolarization and speeding up the membrane time constant, whereas KA and IR have a negligible role in the majority of cells. However, larger KA conductances were found in smaller and rapidly adapting photoreceptors, where KA could have a functional role.
The relative expression of KA and KDR in cockroach photoreceptors was opposite to the previously hypothesized framework for dark-active insects, necessitating further comparative work on the conductances. In general, the varying deployment of stereotypical K+ conductances in insect photoreceptors highlights their functional flexibility in neural coding.
KeywordsPotassium channel Sensory neuron Photoreceptor
In sensory cells, voltage-gated ion channels shape the voltage responses arising from currents generated in sensory transduction processes. The biophysical properties of the channels allow them to change the electrical properties of the membrane in a voltage- and time-dependent manner, which in graded potential neurons and sensory cells lead to amplification of relevant and attenuation of irrelevant signals. In this way ion channels can effectively regulate the membrane according to the requirements set by the input (e.g. the transduction currents) and, in general, the sensory ecology of the animal . Expressing a suitable composition of specific channel types enables tuning of the information coding performance versus the metabolic cost of voltage signalling [2–4].
Photoreceptors form a well-established model system for examining the specific molecular mechanisms involved in processing sensory information that is carried by graded voltage signals in both vertebrates [5–7] and insects [8, 9]. In flies, photoreceptors of fast-flying diurnal species possess a distinctively different set of voltage-gated potassium channels (Kv-channels) than those of slower and crepuscular species [10, 11]. Photoreceptors of diurnal flies rely on non- or slowly inactivating delayed rectifier (DR) channels, whereas nocturnal or crepuscular flies express mainly inactivating Kv channels [10–12]. The DR channels in the dawn and dusk active fruit fly (Drosophila melanogaster) are responsible for attenuating the light-dependent depolarization and speeding up the membrane filter at higher light levels [13–15], whereas the rapidly inactivating transient A-type channels dynamically shape the transient signals to enable full use of the available voltage range . This allows Drosophila photoreceptors to extract information efficiently from the dynamic light stimuli and to encode it into voltage responses of limited amplitude and speed without excessive metabolic costs [3, 4, 13].
Cockroaches are mainly dark-active, but can also aggregate in daylight . While they rely heavily on mechano- and chemosensory systems when gathering information about their surroundings [17, 18], vision also appears to play a significant role in their behaviour [19–21]. The importance of vision can also be inferred from the large compound eyes (over 3000 ommatidia per eye ) that have been maintained through evolution for hundreds of millions of years, despite the associated metabolic cost [23, 24]. Therefore, cockroaches form an interesting model system for studying mechanisms of vision under dark conditions when the rate of photons arriving in the eye is small.
While several studies on vision of nocturnal insects have been published , a detailed characterization of the biophysical properties of photoreceptors has not been previously performed in any dark-active insect. Our earlier investigations have revealed several peculiar features of the cockroach photoreceptors, e.g. exceptional action potential coding in the axons  and nearly randomly varying functional properties , both of which were interpreted as adaptations to nocturnal vision. In this study, we have characterized the biophysical properties of the voltage-dependent conductances in the somata of dissociated cockroach photoreceptors using the patch-clamp method. Mathematical modelling was performed to circumvent experimental limitations in monitoring the simultaneous interplay of different conductances during voltage responses to light. Relative contributions of the characterized conductances in shaping physiologically relevant signals were calculated and discussed with respect to the previously proposed hypothesis for the roles of different types of Kv-channels in photoreceptors of insect species with varying visual ecology.
All experiments were performed using adult male cockroaches Periplaneta americana obtained from Blades Biological Ltd (Edenbridge, Kent, UK). The animals were kept at 25°C in a 12 h day-night rhythm. The ommatidia dissociation procedure was similar as described previously for Drosophila. In brief, after decapitation and removal of antennae, eyes were cut off with a sharp razor blade. Retinas were scooped out and cut into several pieces. The retinal fragments were then incubated for 8-10 min in extracellular solution supplemented with 0.2 mg/ml collagenase type 2 (Worthington Biochemical Corp., Lakewood, NJ USA) and 0.2 mg/ml Pankreatin (Sigma-Aldrich) followed by gentle trituration with systematically varying the tips of the trituration pipettes, until ommatidia started to fall off. Separate ommatidia were allowed to settle in the recording chamber on the stage of an inverted microscope (Axiovert 35 M, Zeiss, Germany). The preparation and the recordings were done at room temperature (20-23°C).
Patch-clamp recordings were performed using an Axopatch 1-D amplifier (Molecular Devices, USA) and pCLAMP 9 software (Molecular Devices, USA). Patch microelectrodes were made from borosilicate glass (Harvard Apparatus Ltd, UK) using a P-87 electrode puller (Sutter Instrument Company, Ca, USA) and had resistances between 5 and 15 MΩ. Access resistances were monitored throughout the experiment and after 80-90% compensation they were typically well below 10 MΩ. Voltage errors caused by access resistance were corrected offline for currents larger than ± 200 pA.
The standard bath solution contained (in mM): 120 NaCl, 5 KCl, 4 MgCl2, 1.5 CaCl2, 10 N-Tris-(hydroxymethyl)-methyl-2-amino-ethanesulfoncic acid (TES), 25 L-proline and 5 β-alanine, pH 7.15 (NaOH). For experiments involving K+ gradients we prepared a high K+ concentration bath solution containing (in mM): 120 NaCl, 50 KCl, 4 MgCl2, 1.5 CaCl2, 10 TES, pH was adjusted to 7.15 (NaOH). The standard and high K+ bath solutions were mixed in relevant proportions to receive K+ concentrations of 5, 15, 25 and 50 mM.
Electrode solutions contained (in mM) either 140 K-gluconate (referred to as Cl-free) or 140 KCl (referred to as Cl-containing) together with 10 TES, 2 MgCl2, 4 Mg-ATP, 0.4 Na-GTP and 1 NAD, pH was adjusted to 7.15 (KOH). Properties of K+ currents were studied using Cl-free solutions, while experiments involving the study of the inward current or voltage and current responses to light stimuli were performed with the Cl-containing electrode solution. All chemicals were purchased from Sigma-Aldrich.
All recordings were done from green-sensitive photoreceptors, identified by their response to stimulation with a green LED (525 nm). Whole-cell input resistances, capacitances and access resistances were determined offline from voltage clamp experiments with a hyperpolarizing voltage step, using the test pulse method described in pCLAMP 9 manual.
Light responses were recorded by stimulating the photoreceptors with an LED through the fluorescence port of the microscope. LED intensity was controlled with a voltage-current converter and the acquisition hardware and software. Voltage light responses were recorded in the amplifier’s current clamp mode (I = 0) and the light-induced currents (LIC) in the voltage-clamp mode, with a holding potential of 74 mV. Light stimuli were either pulses or a dynamic waveform taken from the van Hateren naturalistic time series intensity (NTSI) database .
Data analysis and mathematical modeling
Data were analyzed using OriginPro 8.5 (Originlab, US). Conductances were calculated from currents recorded in different holding potentials V as g = I/(V -E rev ), where I is the current and E rev is the reversal potential. The voltage values presented in the text were corrected for the liquid junction potential (LJP) unless stated otherwise.
Kinetic parameters of gating of K+ currents, recordings of light-induced current in response to a 10 s naturalistic light contrast sequence , and the corresponding voltage responses obtained from patch clamp experiments were used in a Hodgkin-Huxley type mathematical model implemented in Matlab (Mathworks, USA). The model was then used to study the relative contribution of ionic conductances during simulated light responses. The model is described in detail in the Appendix.
General properties of cockroach photoreceptors
Photoreceptors in isolated ommatidia were functionally robust, with light responses occasionally recorded for over one hour of continuous light stimulation. Figure 1C shows quantum bumps, which are current responses to single-photon stimulation. Quantum bumps could be recorded from all the cells used in the analyses and their presence was used as an indicator of photoreceptor health. Examples of macroscopic current and voltage responses elicited by a 10 s naturalistic light stimulus  are shown in Figure 1D. Hyperpolarizing and depolarizing current steps in darkness produced voltage responses characterized by a slow passive membrane time constant (170 ms for the -50 pA trace in Figure 1E). The rectification, i.e. the nonlinear, asymmetric behaviour of voltage in response to depolarizing and hyperpolarizing current injections (Figure 1E), demonstrated the presence of voltage-dependent conductances, which were then studied further.
Voltage-activated K+(Kv) currents
The transient current displayed voltage-dependent inactivation whereas the sustained current did not, thus allowing separation of the two current components by voltage clamp protocols. Depolarizing pulses given after a prepulse of -117 mV activated both the transient and the sustained current (Figure 2D). Depolarizing pulses following a -57 mV prepulse evoked only the sustained current (Figure 2E), due to the inactivation of the transient current by the pre-pulse. The current obtained by subtraction of the currents evoked by the two protocols was taken as the transient current (Figure 2F). The voltage-dependences of the sustained and the transient current resembled delayed-rectifier and A-type Kv currents, respectively, both of which are commonly found in neurons [32, 33], including insect photoreceptors [3, 11–13, 15].
Voltage-dependence of KA activation was determined with the voltage clamp subtraction protocol (Figure 2D-E). Peak conductances were then calculated from the peak currents and fitted with a 2nd order Boltzmann function g(V) = g max /(1 + exp((V50 - V)/slope))2 , corresponding to 2nd order activation kinetics for the KA channels. The half-activation potential for the 2nd order Boltzmann was -43 ± 4 mV with slope of 8.4 ± 1.6 mV (mean ± SD, n = 5). The normalized activation profile for KA is shown in Figure 4A (gray circles and curve; note that because the activation function is of the 2nd order, the V50 value in the equation did not here translate into the 50% value of the activation). Voltage-dependence of KA inactivation was determined from the peak currents, elicited by a -7 mV command pulse following an inactivating prepulse. A first order Boltzmann fit to the peak currents gave a half-inactivation potential of -85 ± 1 mV and a slope factor of -11.3 ± 2.9 mV (Figure 4A, gray triangles and curve, mean ± SD, n = 4). Activation and inactivation time constants were fitted to the subtraction protocol currents with a pulse function, I = Imax·(1 -exp(-t/τact)2·exp(-t/τinact)). Due to the large capacitive transient in whole-cell voltage clamp recordings, the rapid activation kinetics of KA could not be acquired reliably. Nonetheless, the activation time constant was fast at around 1-2 ms (Figure 4B, gray circles, mean ± SD, n = 5), and thus several fold faster than activation of KDR. KA inactivation time constants were obtained from either subtraction protocol currents or from the inactivation recovery (Figure 4C, inset). KA inactivation time constants (Figure 4C) ranged between 50 and 5 ms at physiologically relevant voltages (-70 to -10 mV). The maximum KA conductance was 36 ± 29 nS (mean ± SD, n = 5) and ranged between 11 and 79 nS.
Kv currents and photoreceptor size
The whole-cell capacitance results from the photoreceptor membrane, which includes the folded microvillar membrane of the rhabdomere and the unfolded membrane of the soma. The differences in measured capacitances (Figure 1B) could thus reflect the variable size of photoreceptors, or alternatively the sizes of their rhabdomeres or somas, or both. If the differences in capacitance were produced by rhabdomere or soma size variation, there should be other differences as well.
Pharmacology of Kv channels
Hyperpolarization-activated inward-rectifying (IR) current
Roles of K+conductances in light responses
Responses to 10 s naturalistic light intensity series were recorded in both voltage and current clamp modes (Figure 1D). Recorded light currents were then used for estimation of the light-induced conductance required for the light response in simulations. The light-induced current (LIC) is determined by the light-induced conductance and its driving force (voltage difference between the membrane potential and the LIC reversal potential). Thus, although possible to determine in voltage clamp, it was not possible to measure the actual LIC driving the photoreceptor’s voltage response, when recording in the current clamp mode when the voltage is varying freely. With the model, however, we could indirectly estimate the currents contributing to the voltage responses to moderate intensity light stimulations, based on the experimentally determined light-induced and voltage-gated conductances [13, 37].
Photoreceptors can be used as model systems for signal processing, involving input signals in the form of light-gated current, modulation of the resulting voltage signals by voltage-dependent channels, and output by synaptic transmission to interneurons . Nocturnal or crepuscular insects such as the cockroach have to cope with dim environments, where the reliability of visual information decreases due to the stochastic nature of photon arrival and relatively large transduction noise . We have for the first time characterized in detail the electrical membrane properties in photoreceptors of an insect adapted to dark, the cockroach Periplaneta americana.
Several anatomical and physiological strategies for improving dim light vision exist in the insect visual systems. Compound eye optics, photoreceptor properties and the later neural processes can be optimized for efficient light capture and signal transmission . At the photoreceptor level, common strategies used by nocturnal arthropods include temporal summation by the low-pass properties of phototransduction and the photo-insensitive membrane, large-amplitude single photon responses and a large rhabdomere that increases the photon catch [39, 40]. Spatial summation of signals from several photoreceptors in the 2nd order neurons of the Lamina can further improve vision under conditions where the number of photons is very small [41–43]. A conclusion that can be made from these studies is that, when only a small number of photons are absorbed by the photoreceptors, sufficient visual information is acquired through sacrificing either spatial or temporal resolution, or both. Our new results show how the voltage-dependent channels fit into this big picture in the cockroach photoreceptors. Both the experimental approach, patch-clamping of the photoreceptors in the isolated ommatidia, and the theoretical approach, mathematical modelling, are used to gain mechanistic understanding. Interestingly, our results show that the Kv channel composition in the cockroach photoreceptors does not follow the pattern found previously in the Diptera [10, 11].
As can be expected, temporal integration in the cockroach photoreceptors is clearly one of the main visual adaptations for life in the dark . It limits coding to the relatively slow visual signals compared to the fast-flying diurnal flies, whose photoreceptors respond to much higher stimulus frequencies [44, 45]. In cockroach photoreceptors low-pass filtering arises from the slow phototransduction (Figure 1C-D) and the electrical properties of the membrane (Figure 1E), manifested in the large whole-cell resistance and capacitance. The capacitance ensues from the rhabdomere’s large microvillar area that increases the photon capture efficiency of the cells . The high resistance in the dark and at rest combined with the large capacitance yields a slow time-constant: ca. 60 ms with typical membrane capacitance of 400 pF and resistance of 150 MΩ at -60 mV. This corresponds to a temporal low-pass filter with a cut-off frequency of ca. 3 Hz. For comparison, in dark-adapted photoreceptors of the diurnal blowfly Calliphora vicina, membrane resistance and time constant are 32 MΩ and 4 ms, resulting in a corner frequency of 25 Hz, which in light-adaptation is nearly tripled to 72 Hz . In cockroach photoreceptors the high input resistance near the resting potential amplifies single photon responses, enabling large amplitude voltage bumps.
During light responses the membrane gain and speed are strongly modulated by voltage-gated channels. The dark- and day-active Dipteran fly species possess varying Kv channel compositions dominated by either A-type or DR channels, respectively [10, 11]. This is considered to result from the optimization between the need for faster vision and the subsequent increase in the metabolic costs [2, 4]. Moreover, some insects that are active during both day and night demonstrate circadian changes in the Kv channels, with transient currents expressed at the night and sustained currents during the day [47, 48]. It was therefore surprising that the dominant Kv current in the nocturnal cockroach was the noninactivating KDR (Figure 2).
Our results show that the conductances activated with the depolarization are relatively specific for K+, and thus it is plausible that they are created by the Kv-channels (Figure 3). The voltage-activated currents could be separated into two components, the sustained non-inactivating KDR and the transient inactivating current KA (Figure 4. and the Appendix). Although both KDR and KA showed some of the typical characteristics of previously described insect Kv-channels, most importantly the voltage-dependence of activation and inactivation and the sensitivity to various Kv blockers (Figure 6; compare to channels in .), the molecular identities of the channels remain unknown. However, the insensitivity of KA to the Drosophila Shaker blocker αDTX suggests that KA is not coded by the Shaker gene. KDR was activated already at the -60 mV resting potential in dark, contributing almost 90% of total membrane conductance. Therefore KDR participates in shaping even the smallest light responses, the quantum bumps, and may be required to prevent or attenuate saturation with transient increases of light. Simulations showed that similarly to the sustained Kv currents in the photoreceptors of other species, KDR adjusts the speed and amplitude of the light-induced voltage responses [10, 11, 13].
The role of the transient Kv conductance, KA, is more difficult to assess. KA conductance at the dark resting potential was small (< 0.1 nS) and computer simulations demonstrated that KA had no significant role in prolonged light responses. Because of its rapid inactivation, even a 10-fold simulated increase in the KA conductance or various manipulations of voltage-dependent properties of KA had no significant effect on the light response (Figure 10). An increase in the KA current during the initial voltage transient was observed when the dark resting potential was set below the experimentally determined values. However, the physiological relevance of this finding is likely to be very small because the membrane voltage is rarely below the dark resting potential during the light stimuli. For high intensity light stimuli, the cation influx through the light-sensitive channels may induce exchanger and pump activity, which can lead to a brief hyperpolarization below the resting potential . It is possible that some of the cells in vivo could have more negative resting potentials where KA channels could be more effectively activated. However, no systematic variation of the resting potential was found during this work, neither has this been reported in earlier studies .
Besides the inter-species differences in Dipteran photoreceptor Kv channels , Kv channel expression can vary within the same species between photoreceptors with different functional and structural properties. In Drosophila, blue- and UV-sensitive photoreceptors with longer axons express larger transient Kv conductances than green-sensitive cells with short axons . The transient conductance (as opposed to the alternative sustained DR type) has been suggested to decrease the attenuation of the voltage signals during propagation to the 2nd order cells. Since cockroach photoreceptors have exceptionally long axons reaching over 1 mm , KA could serve a similar function.
Previous studies  and the data presented here (Figure 5A&C) indicate that a fraction of cockroach photoreceptors exhibit a particular strongly-adapting phenotype, characterized by higher KA conductance and smaller whole-cell capacitance than photoreceptors on average. In vivo intracellular recordings with sharp electrodes have earlier demonstrated the presence of action potential-like signals in the photoreceptor axons  and simulations of spiking hyper-adapting photoreceptors have shown that such combination efficiently encodes transient light intensity changes . Generally, A-type Kv conductances regulate several aspects in spiking neurons [32, 33, 52]. We therefore hypothesize that the KA conductance could be important in tuning the transient responses in a sub-population of photoreceptors, related to signalling with either transient graded potentials or spikes in the axons. However, good quality intracellular recordings from the thin axons, 0.5 - 1 μm in diameter are lacking at present.
The functional role of the hyperpolarization activated IR current (Figure 7) is enigmatic, because its activation range is well below physiological signalling range. It could be related to transient hyperpolarization of the membrane after strong light stimulation . Although a detailed study of its possible physiological function is beyond the scope of this paper, our results show that it is not carried by potassium and that substitution experiments are in accordance to its being a chloride conductance. These findings resemble a chloride current mediated by the CLC-2 channels , which have also been reported in the Drosophila photoreceptors .
In conclusion, we have characterized three types of voltage-dependent conductances in the cockroach photoreceptors, two Kv and one (putative) chloride conductance. The Kv-conductance composition does not conform to the previously formulated hypothesis of the roles of KDR and KA types of Kv channels in the insect photoreceptors of varying visual ecology. This earlier hypothesis was based on the studies of Dipteran flies and a more comprehensive comparative study should be conducted spanning all major insect groups. Results of such work would complement our current understanding on the different roles that Kv channels may have in photoreceptor signalling or in graded voltage signalling in general.
Mathematical model of the cockroach photoreceptor
Glossary: model variables and parameters
V: membrane voltage (volts); Ilight, KDR, KA, leak: light-induced, KDR, KA or leak current (amperes); C: membrane capacitance (farads); t: time (seconds); glight, leak: light-dependent- or leak conductance (siemens); GKDR, KA: maximum conductance of KDR or KA (siemens); Elight, K: reversal potential of light-induced or potassium current (volts); KDRact, KAact: activation parameter for KDR or KA (unitless); KAinact: inactivation parameter for KA (unitless); τXact, τXinact: activation or inactivation time constant for X (seconds).
An isopotential Hodgkin-Huxley-like model of the photoreceptor soma was constructed in Matlab programming environment (Mathworks, USA), using the measured passive, light- and voltage-dependent properties. Since we simulated the photoreceptor depolarizations arising from the light stimulation, the hyperpolarization-activated IR current was not included in the model.
The experimentally derived average whole-cell capacitance of C = 380 pF was used in the simulations. A passive leak conductance gleak, with reversal potential Eleak = 0 mV, was added in the model to give a resting potential of -60 mV in simulations to match the experimental conditions. The value for gleak was calculated to give a zero net current at the resting potential. With standard Kv conductances and resting potential of -60 mV, the gleak was 0.9 nS and resulted in a whole-cell resistance of 136 MΩ at rest and 940 MΩ at -84 mV, where the experimental input resistances were measured with the voltage clamp.
The light-dependent conductance, glight(t), caused by light stimulation, was determined in voltage clamp. A 10 s long waveform taken from the van Hateren naturalistic stimulus database  was used to control the intensity of a green LED (Figure 1D bottom trace). Light-induced currents (LIC, Figure 1D) were recorded from the photoreceptors clamped to a holding potential of -74 mV in whole-cell mode. Light-dependent conductances were calculated by dividing the LIC recorded at -74 mV by the driving force of -84 mV, assuming a reversal potential of Elight = +10 mV (determined in a separate set of experiments with identical solutions).
Parameters for Kv conductances in the model
Steady-state conductance (mean ± SD)
Time constant (mean ± SE)
g max (nS)
τ o (ms)
KDR (n = 6)
78 ± 22
-31 ± 9
12.0 ± 2.0
4 ± 1
43 ± 6
156 ± 53
1 ± 2
KA act. (n = 5)
36 ± 29
-43 ± 4
8.4 ± 1.6
KA inact. (n = 4)
-85 ± 1
-11.3 ± 2.9
341 ± 101
-44 ± 4
0.21 ± 0.07
0 ± 2
The model was validated by simulating the voltage clamp subtraction protocol shown in Figure 2D-F. For validation, we used the mean activation and inactivation parameters (Figure 4A-C) and the maximum conductances for the example cell shown in Figure 2D-F (52 nS for KDR and 60 nS for KA). The voltage-clamp subtraction protocol was simulated by setting the Hodgkin-Huxley differential equation dV/dt to zero and solving the net current (I tot = I KDR + I KA + I LEAK ) with the voltage clamp protocol V(t) (Figure 8).
Light responses were simulated using light-dependent conductances glight(t). Solving the differential equation group with the Matlab ode solver ode23s gave the photoreceptor voltage and activation/inactivation parameters for the conductances, which were then used to calculate the corresponding currents.
Matlab code for the simulations is available from the authors upon request.
Kyösti Heimonen helped in many discussions during this work. We are grateful to Roger Hardie for his help in establishing the patch clamping of insect photoreceptors in our laboratory. The work was supported by grants to IS: Finnish Graduate School of Neuroscience, Biocenter Oulu; to MW and to MV: Academy of Finland (grants no. 118480 and 129762), Sigrid Juselius Foundation; and to SK: Academy of Finland.
- Laughlin SB: Matched filtering by a photoreceptor membrane. Vision Res. 1996, 36 (11): 1529-1541. 10.1016/0042-6989(95)00242-1.PubMedView ArticleGoogle Scholar
- Niven JE, Laughlin SB: Energy limitation as a selective pressure on the evolution of sensory systems. J Exp Biol. 2008, 211 (11): 1792-10.1242/jeb.017574.PubMedView ArticleGoogle Scholar
- Niven JE, Vähäsöyrinki M, Kauranen M, Hardie RC, Juusola M, Weckström M: The contribution of Shaker K+ channels to the information capacity of Drosophila photoreceptors. Nature. 2003, 421 (6923): 630-634. 10.1038/nature01384.PubMedView ArticleGoogle Scholar
- Niven JE, Vähäsöyrinki M, Juusola M: Shaker K+-channels are predicted to reduce the metabolic cost of neural information in Drosophila photoreceptors. Proc R Soc Lond B Biol Sci. 2003, 270 (Suppl 1): S58-S61.View ArticleGoogle Scholar
- Barrow AJ, Wu SM: Low-conductance HCN1 ion channels augment the frequency response of rod and cone photoreceptors. J Neurosci. 2009, 29 (18): 5841-10.1523/JNEUROSCI.5746-08.2009.PubMed CentralPubMedView ArticleGoogle Scholar
- Beech DJ, Barnes S: Characterization of a voltage-gated K channel that accelerates the rod response to dim light. Neuron. 1989, 3 (5): 573-581. 10.1016/0896-6273(89)90267-5.PubMed CentralPubMedView ArticleGoogle Scholar
- Barnes S: After transduction: response shaping and control of transmission by ion channels of the photoreceptor inner segments. Neuroscience. 1994, 58 (3): 447-459. 10.1016/0306-4522(94)90072-8.PubMedView ArticleGoogle Scholar
- Hardie RC, Raghu P: Visual transduction in Drosophila. Nature. 2001, 413 (6852): 186-193. 10.1038/35093002.PubMedView ArticleGoogle Scholar
- Fain GL, Hardie R, Laughlin SB: Phototransduction and the evolution of photoreceptors. Curr Biol. 2010, 20 (3): R114-R124. 10.1016/j.cub.2009.12.006.PubMed CentralPubMedView ArticleGoogle Scholar
- Laughlin SB, Weckström M: Fast and Slow Photoreceptors - a Comparative-Study of the Functional Diversity of Coding and Conductances in the Diptera. J Comp Physiol A. 1993, 172 (5): 593-609. 10.1007/BF00213682.View ArticleGoogle Scholar
- Weckström M, Laughlin SB: Visual Ecology and Voltage-Gated Ion Channels in Insect Photoreceptors. Trends Neurosci. 1995, 18 (1): 17-21. 10.1016/0166-2236(95)93945-T.PubMedView ArticleGoogle Scholar
- Weckström M, Hardie RC, Laughlin SB: Voltage-activated potassium channels in blowfly photoreceptors and their role in light adaptation. J Physiol (Lond ). 1991, 440 (1): 635.View ArticleGoogle Scholar
- Vähäsöyrinki M, Niven JE, Hardie RC, Weckström M, Juusola M: Robustness of neural coding in Drosophila photoreceptors in the absence of slow delayed rectifier K+ channels. J Neurosci. 2006, 26 (10): 2652-2660. 10.1523/JNEUROSCI.3316-05.2006.PubMedView ArticleGoogle Scholar
- Krause Y, Krause S, Huang J, Liu CH, Hardie RC, Weckström M: Light-dependent modulation of shab channels via phosphoinositide depletion in Drosophila photoreceptors. Neuron. 2008, 59 (4): 596-607. 10.1016/j.neuron.2008.07.009.PubMedView ArticleGoogle Scholar
- Hardie RC: Voltage-sensitive potassium channels in Drosophila photoreceptors. J Neurosci. 1991, 11 (10): 3079-3095.PubMedGoogle Scholar
- Bell WJ, Adiyodi KG: The American Cockroach. 1982, SpringerView ArticleGoogle Scholar
- Zill SN: Mechanoreceptors: Exteroceptors and proprioceptors. Cockroaches as models for neurobiology: applications in biomedical research. Edited by: Huber I, Masler EP, Rao BR. 1990, Boca Raton, Florida: CRC Press, Inc, 247-267.Google Scholar
- Seelinger G: Chemoreception. Cockroaches as models for neurobiology: applications in biomedical research. Edited by: Huber I, Masler EP, Rao BR. 1990, Boca Raton, Florida: CRC Press, Inc, 269-284.Google Scholar
- Brown S, Strausfeld N: The effect of age on a visual learning task in the American cockroach. Learn Mem. 2009, 16 (3): 210-10.1101/lm.1241909.PubMedView ArticleGoogle Scholar
- Mizunami M, Weibrecht JM, Strausfeld NJ: Mushroom bodies of the cockroach: their participation in place memory. J Comp Neurol. 1998, 402 (4): 520-537. 10.1002/(SICI)1096-9861(19981228)402:4<520::AID-CNE6>3.0.CO;2-K.PubMedView ArticleGoogle Scholar
- Ye S, Leung V, Khan A, Baba Y, Comer CM: The antennal system and cockroach evasive behavior. I. Roles for visual and mechanosensory cues in the response. J Comp Physiol A. 2003, 189 (2): 89-96.Google Scholar
- Füller H, Eckert M, Blechschmidt K: Distribution of GABA-like immunoreactive neurons in the optic lobes of Periplaneta americana. Cell Tissue Res. 1989, 255 (1): 225-233.View ArticleGoogle Scholar
- Laughlin SB: Energy as a constraint on the coding and processing of sensory information. Curr Opin Neurobiol. 2001, 11 (4): 475-480. 10.1016/S0959-4388(00)00237-3.PubMedView ArticleGoogle Scholar
- Laughlin SB, van Steveninck RR dR, Anderson JC: The metabolic cost of neural information. Nat Neurosci. 1998, 1 (1): 36-41. 10.1038/236.PubMedView ArticleGoogle Scholar
- Warrant EJ, Dacke M: Vision and Visual Navigation in Nocturnal Insects. Annu Rev Entomol. 2011, 56 (1): 239-254. 10.1146/annurev-ento-120709-144852.PubMedView ArticleGoogle Scholar
- Weckström M, Järvilehto M, Heimonen K: Spike-like potentials in the axons of nonspiking photoreceptors. J Neurophysiol. 1993, 69 (1): 293-296.PubMedGoogle Scholar
- Heimonen K, Salmela I, Kontiokari P, Weckström M: Large functional variability in cockroach photoreceptors: optimization to low light levels. J Neurosci. 2006, 26 (52): 13454-13462. 10.1523/JNEUROSCI.3767-06.2006.PubMedView ArticleGoogle Scholar
- van Hateren JH: Processing of natural time series of intensities by the visual system of the blowfly. Vision Res. 1997, 37 (23): 3407-3416. 10.1016/S0042-6989(97)00105-3.PubMedView ArticleGoogle Scholar
- Li WC, Soffe S, Roberts A: A direct comparison of whole cell patch and sharp electrodes by simultaneous recording from single spinal neurons in frog tadpoles. J Neurophysiol. 2004, 92 (1): 380-386. 10.1152/jn.01238.2003.PubMedView ArticleGoogle Scholar
- Butler R: The identification and mapping of spectral cell types in the retina of Periplaneta americana. J Comp Physiol A. 1971, 72 (1): 67-80.Google Scholar
- Smakman JGJ, Stavenga DG: Angular Sensitivity of Blowfly Photoreceptors - Broadening by Artificial Electrical Coupling. J Comp Physiol A. 1987, 160 (4): 501-507. 10.1007/BF00615083.View ArticleGoogle Scholar
- Hille B: Ion channels of excitable membranes. 2001, Sunderland, MA: Sinauer AssociatesGoogle Scholar
- Wicher D, Walther C, Wicher C: Non-synaptic ion channels in insects–basic properties of currents and their modulation in neurons and skeletal muscles. Prog Neurobiol. 2001, 64 (5): 431-525. 10.1016/S0301-0082(00)00066-6.PubMedView ArticleGoogle Scholar
- Schafer S, Rosenboom H, Menzel R: Ionic currents of Kenyon cells from the mushroom body of the honeybee. J Neurosci. 1994, 14 (8): 4600-4612.PubMedGoogle Scholar
- Harvey AL: Twenty years of dendrotoxins. Toxicon. 2001, 39 (1): 15-26. 10.1016/S0041-0101(00)00162-8.PubMedView ArticleGoogle Scholar
- Rose U, Derst C, Wanischeck M, Marinc C, Walther C: Properties and possible function of a hyperpolarisation-activated chloride current in Drosophila. J Exp Biol. 2007, 210 (14): 2489-10.1242/jeb.006361.PubMedView ArticleGoogle Scholar
- Niven JE, Vahasöyrinki M, Juusola M, French AS: Interactions between light-induced currents, voltage-gated currents, and input signal properties in Drosophila photoreceptors. J Neurophysiol. 2004, 91 (6): 2696-2706. 10.1152/jn.01163.2003.PubMedView ArticleGoogle Scholar
- Lillywhite PG, Laughlin SB: Transducer noise in a photoreceptor. Nature. 1979, 277 (5697): 569-572. 10.1038/277569a0.PubMedView ArticleGoogle Scholar
- Laughlin S, Blest AD, Stowe S: The sensitivity of receptors in the posterior median eye of the nocturnal spider, Dinopis. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology. 1980, 141 (1): 53-65. 10.1007/BF00611878.View ArticleGoogle Scholar
- Frederiksen R, Wcislo WT, Warrant EJ: Visual reliability and information rate in the retina of a nocturnal bee. Curr Biol. 2008, 18 (5): 349-353. 10.1016/j.cub.2008.01.057.PubMedView ArticleGoogle Scholar
- Greiner B, Ribi WA, Warrant EJ: A neural network to improve dim-light vision? Dendritic fields of first-order interneurons in the nocturnal bee Megalopta genalis. Cell Tissue Res. 2005, 322 (2): 313-320. 10.1007/s00441-005-0034-y.PubMedView ArticleGoogle Scholar
- Theobald JC, Greiner B, Wcislo WT, Warrant EJ: Visual summation in night-flying sweat bees: a theoretical study. Vision Res. 2006, 46 (14): 2298-2309. 10.1016/j.visres.2006.01.002.PubMedView ArticleGoogle Scholar
- Klaus A, Warrant EJ: Optimum spatiotemporal receptive fields for vision in dim light. J Vis. 2009, 9 (4).
- Gonzalez-Bellido PT, Wardill TJ, Juusola M: Compound eyes and retinal information processing in miniature dipteran species match their specific ecological demands. Proc Natl Acad Sci USA. 2011, 108 (10): 4224-10.1073/pnas.1014438108.PubMed CentralPubMedView ArticleGoogle Scholar
- Niven JE, Anderson JC, Laughlin SB: Fly photoreceptors demonstrate energy-information trade-offs in neural coding. PLoS Biol. 2007, 5 (4): e116-10.1371/journal.pbio.0050116.PubMed CentralPubMedView ArticleGoogle Scholar
- Snyder AW: Physics of vision in compound eyes. Handbook of sensory physiology. Edited by: Autrum H. 1979, Berlin, Germany: Springer, 225-313.Google Scholar
- Cuttle MF, Hevers W, Laughlin SB, Hardie RC: Diurnal modulation of photoreceptor potassium conductance in the locust. J Comp Physiol A. 1995, 176 (3): 307-316.View ArticleGoogle Scholar
- Hevers W, Hardie RC: Serotonin modulates the voltage dependence of delayed rectifier and Shaker potassium channels in Drosophila photoreceptors. Neuron. 1995, 14 (4): 845-856. 10.1016/0896-6273(95)90228-7.PubMedView ArticleGoogle Scholar
- Jansonius NM: Properties of the sodium pump in the blowfly photoreceptor cell. J Comp Physiol A. 1990, 167 (4): 461-467.View ArticleGoogle Scholar
- Anderson J, Hardie RC: Different photoreceptors within the same retina express unique combinations of potassium channels. J Comp Physiol A. 1996, 178 (4): 513-522.View ArticleGoogle Scholar
- Butler R: The anatomy of the compound eye of Periplaneta americana L. 2. Fine structure. J Comp Physiol A. 1973, 83 (3): 239-262. 10.1007/BF00693677.View ArticleGoogle Scholar
- Connor J, Stevens C: Voltage clamp studies of a transient outward membrane current in gastropod neural somata. J Physiol (Lond ). 1971, 213 (1): 21.PubMed CentralView ArticleGoogle Scholar
- Uusitalo RO, Weckström M: Potentiation in the first visual synapse of the fly compound eye. J Neurophysiol. 2000, 83 (4): 2103-2112.PubMedGoogle Scholar
- Enz R, Ross BJ, Cutting GR: Expression of the voltage-gated chloride channel ClC-2 in rod bipolar cells of the rat retina. J Neurosci. 1999, 19 (22): 9841.PubMedGoogle Scholar
- Ugarte G, Delgado R, O’Day PM, Farjah F, Cid LP, Vergara C, Bacigalupo J: Putative ClC-2 chloride channel mediates inward rectification in Drosophila retinal photoreceptors. J Membr Biol. 2005, 207 (3): 151-160. 10.1007/s00232-005-0810-3.PubMedView ArticleGoogle Scholar
- Yamada WM, Koch C, Adams PR: Multiple channels and calcium dynamics. Methods in neuronal modeling: From synapses to networks. Edited by: Koch C, Segev I. 1998, Cambridge, MA: MIT Press, 2Google Scholar