Population dynamics of spiking neurons: fast transients, asynchronous states, and locking.
about
Decorrelation of neural-network activity by inhibitory feedbackThe role of inhibition in a computational model of an auditory cortical neuron during the encoding of temporal information.The dynamic brain: from spiking neurons to neural masses and cortical fields.Extracting non-linear integrate-and-fire models from experimental data using dynamic I-V curves.Systematic fluctuation expansion for neural network activity equations.Instantaneous non-linear processing by pulse-coupled threshold units.Irregular dynamics in up and down cortical states.From spiking neuron models to linear-nonlinear models.Representation of dynamical stimuli in populations of threshold neurons.Balancing feed-forward excitation and inhibition via Hebbian inhibitory synaptic plasticity.Beyond mean field theory: statistical field theory for neural networks.An effective kinetic representation of fluctuation-driven neuronal networks with application to simple and complex cells in visual cortex.Coding and decoding with adapting neurons: a population approach to the peri-stimulus time histogram.Dynamic finite size effects in spiking neural networks.Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces.The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitroIntegrating neuroinformatics tools in TheVirtualBrain.The effect of STDP temporal kernel structure on the learning dynamics of single excitatory and inhibitory synapsesPopulation rate coding in recurrent neuronal networks with unreliable synapses.Complete Firing-Rate Response of Neurons with Complex Intrinsic Dynamics.Summation in the Hippocampal CA3-CA1 Network Remains Robustly Linear Following Inhibitory Modulation and Plasticity, but Undergoes Scaling and Offset Transformations.Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size.Generalized activity equations for spiking neural network dynamicsExplicit melioration by a neural diffusion model.Experience-driven formation of parts-based representations in a model of layered visual memory.An embedded network approach for scale-up of fluctuation-driven systems with preservation of spike informationFinite post synaptic potentials cause a fast neuronal response.Theory and simulation in neuroscience.On the neural implementation of the speed-accuracy trade-off.Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator.Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons.A symbolic/subsymbolic interface protocol for cognitive modelingCritical analysis of dimension reduction by a moment closure method in a population density approach to neural network modeling.Population density methods for stochastic neurons with realistic synaptic kinetics: firing rate dynamics and fast computational methods.Rapid temporal modulation of synchrony by competition in cortical interneuron networks.Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation.A stochastic-field description of finite-size spiking neural networks.Rate Dynamics of Leaky Integrate-and-Fire Neurons with Strong SynapsesIntegrate-and-fire neurons with threshold noise: a tractable model of how interspike interval correlations affect neuronal signal transmission.Gain modulation by an urgency signal controls the speed-accuracy trade-off in a network model of a cortical decision circuit
P2860
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P2860
Population dynamics of spiking neurons: fast transients, asynchronous states, and locking.
description
2000 nî lūn-bûn
@nan
2000年の論文
@ja
2000年学术文章
@wuu
2000年学术文章
@zh
2000年学术文章
@zh-cn
2000年学术文章
@zh-hans
2000年学术文章
@zh-my
2000年学术文章
@zh-sg
2000年學術文章
@yue
2000年學術文章
@zh-hant
name
Population dynamics of spiking ...... nchronous states, and locking.
@en
Population dynamics of spiking ...... nchronous states, and locking.
@nl
type
label
Population dynamics of spiking ...... nchronous states, and locking.
@en
Population dynamics of spiking ...... nchronous states, and locking.
@nl
prefLabel
Population dynamics of spiking ...... nchronous states, and locking.
@en
Population dynamics of spiking ...... nchronous states, and locking.
@nl
P2860
P1433
P1476
Population dynamics of spiking ...... nchronous states, and locking.
@en
P2093
Gerstner W
P2860
P356
10.1162/089976600300015899
P577
2000-01-01T00:00:00Z