Articles
Page 14 of 98
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Citation: BMC Neuroscience 2015 16(Suppl 1):P301
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Role of Na+ and Ca2+ currents in computational model of in-vitro sigh generation
Citation: BMC Neuroscience 2015 16(Suppl 1):P257 -
Mapping the smoking addiction using dynamic causal modelling at rest
Citation: BMC Neuroscience 2015 16(Suppl 1):P246 -
Modeling of seizure transitions with ion concentration dynamics
Citation: BMC Neuroscience 2015 16(Suppl 1):P242 -
Evolving small spiking neural networks to work as state machines for temporal pattern recognition
Citation: BMC Neuroscience 2015 16(Suppl 1):P238 -
Using transfer entropy to study synaptic integration in Purkinje cells
Citation: BMC Neuroscience 2015 16(Suppl 1):P236 -
Functional requirements for homeostatic inhibitory plasticity in recurrent networks
Citation: BMC Neuroscience 2015 16(Suppl 1):P234 -
Thalamo-cortical mechanisms of the observed specific changes in frontal and occipital EEG rhythms during propofol-induce sedation
Citation: BMC Neuroscience 2015 16(Suppl 1):P232 -
Large-scale quantitative analysis of neurons via morphological structures by Fast Automatically Structural Tracing Algorithm (FAST)
Citation: BMC Neuroscience 2015 16(Suppl 1):P228 -
An information theoretic measure of cross-frequency coupling
Citation: BMC Neuroscience 2015 16(Suppl 1):P224 -
Self-organization of information processing in developing neuronal networks
Citation: BMC Neuroscience 2015 16(Suppl 1):P221 -
Temperature-induced changes of spike timing precision and network synchronisation
Citation: BMC Neuroscience 2015 16(Suppl 1):P219 -
Multi-scale detection of rate and variance changes in neuronal spike trains
Citation: BMC Neuroscience 2015 16(Suppl 1):P217 -
Extracellular potassium concentration defines neuronal bursting properties
Citation: BMC Neuroscience 2015 16(Suppl 1):P215 -
Dynamics of competition between coupled spiking networks in the balanced state
Citation: BMC Neuroscience 2015 16(Suppl 1):P211 -
Approximate nonlinear filtering with a recurrent neural network
Citation: BMC Neuroscience 2015 16(Suppl 1):P196 -
Local interaction in retinal ganglion cell mosaics can generate a consistent spatial periodicity in cortical functional maps
Citation: BMC Neuroscience 2015 16(Suppl 1):P192 -
Extending integrate-and fire model neurons to account for the effects of weak electric fields in the presence of dendrites
Citation: BMC Neuroscience 2015 16(Suppl 1):P185 -
Low-dimensional spike rate dynamics of coupled adaptive model neurons
Citation: BMC Neuroscience 2015 16(Suppl 1):P183 -
A computational model of cell culture dynamics: the role of connectivity and synaptic receptors in the appearance of synchronized bursting events
Citation: BMC Neuroscience 2015 16(Suppl 1):P177 -
On the basic mechanisms of anticipated synchronization in neuronal circuits
Citation: BMC Neuroscience 2015 16(Suppl 1):P167 -
A neural model of the optomotor system accounts for ordered responses to decreasing stimulus spatial frequencies
Citation: BMC Neuroscience 2015 16(Suppl 1):P159 -
Mode-locking behavior of Izhikevich neurons under periodic external forcing
Citation: BMC Neuroscience 2015 16(Suppl 1):P140 -
Detecting parallel bursts in silico generated parallel spike train data
Citation: BMC Neuroscience 2015 16(Suppl 1):P134 -
Assessing performance of directed functional connectivity measures in the presence of common source
Citation: BMC Neuroscience 2015 16(Suppl 1):P124 -
Modeling spontaneous activity across an excitable epithelium: support for a coordination scenario of early neural evolution
Citation: BMC Neuroscience 2015 16(Suppl 1):P120 -
Granule cell excitability mediates gamma and beta oscillations in a model of the dendrodendritic microcircuit
Citation: BMC Neuroscience 2015 16(Suppl 1):P118 -
Discrete cortical representations and their stability in the presence of synaptic turnover
Citation: BMC Neuroscience 2015 16(Suppl 1):P114 -
Effects of multimodal distribution of delays in brain network dynamics
Citation: BMC Neuroscience 2015 16(Suppl 1):P109 -
Homeostatic intrinsic plasticity, neural heterogeneity and memory maintenance
Citation: BMC Neuroscience 2015 16(Suppl 1):P98 -
Detecting network states in white noise
Citation: BMC Neuroscience 2015 16(Suppl 1):P92 -
Slow points and adiabatic fixed points in recurrent neural networks
Citation: BMC Neuroscience 2015 16(Suppl 1):P88 -
Variable bin size selection for periestimulus time histograms (PSTH) with minimum mean square error criteria
Citation: BMC Neuroscience 2015 16(Suppl 1):P80 -
A hierarchy of time scales supports unsupervised learning of behavioral sequences
Citation: BMC Neuroscience 2015 16(Suppl 1):P78 -
Should Hebbian learning be selective for negative excess kurtosis?
Citation: BMC Neuroscience 2015 16(Suppl 1):P65 -
Firing rate response of neocortical neurons in the fluctuation-driven regime
Citation: BMC Neuroscience 2015 16(Suppl 1):P59 -
The ionic mechanism of the Purkinje cell dendritic spikes generation and propagation: a model exploration
Citation: BMC Neuroscience 2015 16(Suppl 1):P53 -
An empirical model of Drosophila Photoreceptor-LMC network
Citation: BMC Neuroscience 2015 16(Suppl 1):P47 -
Robustness of spatial learning in flickering networks
Citation: BMC Neuroscience 2015 16(Suppl 1):P43 -
An asymptotic approximation to the cable equation for arbitrary diameter taper
Citation: BMC Neuroscience 2015 16(Suppl 1):P40 -
Using phase response curves to predict synchronization times for neural circuits
Citation: BMC Neuroscience 2015 16(Suppl 1):P39 -
A phase-locked loop epilepsy network emulator for localizing, forecasting, and controlling ictal activity
Citation: BMC Neuroscience 2015 16(Suppl 1):P38 -
The contribution of subthreshold preference in inhibitory neurons to network response
Citation: BMC Neuroscience 2015 16(Suppl 1):P36 -
Investigating the effects of beta-amyloid on hippocampal signalling in Alzheimer's disease
Citation: BMC Neuroscience 2015 16(Suppl 1):P34 -
Identifying excitatory and inhibitory synapses in neuronal networks from dynamics using Transfer Entropy
Citation: BMC Neuroscience 2015 16(Suppl 1):P30 -
Emergence of ITD tuning in the MSO with a realistic periphery model
Citation: BMC Neuroscience 2015 16(Suppl 1):P20 -
Modelling the mechanoreceptor's dynamic behaviour
Citation: BMC Neuroscience 2015 16(Suppl 1):P16 -
Large-scale analysis of brain-wide electrophysiological diversity reveals novel characterization of mammalian neuron types
Citation: BMC Neuroscience 2015 16(Suppl 1):O4 -
The dynamics of resting fluctuations in the brain
Citation: BMC Neuroscience 2015 16(Suppl 1):A2 -
Complex synapses as efficient memory systems
Citation: BMC Neuroscience 2015 16(Suppl 1):F1
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0.824 - SNIP (Source Normalized Impact per Paper)
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