about
Dynamical systems, attractors, and neural circuitsSpatial diversity of spontaneous activity in the cortexMechanisms of neuronal computation in mammalian visual cortexA System Computational Model of Implicit Emotional Learning.Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. I: Spike Generating Models on Converging MotifsEncoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neuronsTwo distinct modes of forebrain circuit dynamics underlie temporal patterning in the vocalizations of young songbirds.Why are computational neuroscience and systems biology so separate?Asymmetric effects of activating and inactivating cortical interneurons.Interpreting neurodynamics: concepts and facts.Analyzing the dynamics of brain circuits with temperature: design and implementation of a miniature thermoelectric device.Representing where along with what information in a model of a cortical patch.Synchronous chaos and broad band gamma rhythm in a minimal multi-layer model of primary visual cortex.Dynamical basis of irregular spiking in NMDA-driven prefrontal cortex neurons.A balanced memory network.Ising model for neural data: model quality and approximate methods for extracting functional connectivity.Systematic fluctuation expansion for neural network activity equations.Balanced cortical microcircuitry for spatial working memory based on corrective feedback control.Sensory stimulation shifts visual cortex from synchronous to asynchronous statesAttentional modulation of neuronal variability in circuit models of cortex.The mechanics of state-dependent neural correlations.The Wilson-Cowan model, 36 years laterSpike-based population coding and working memory.Power-law input-output transfer functions explain the contrast-response and tuning properties of neurons in visual cortex.Robust transmission of rate coding in the inhibitory Purkinje cell to cerebellar nuclei pathway in awake mice.Slow dynamics and high variability in balanced cortical networks with clustered connections.Architectural and synaptic mechanisms underlying coherent spontaneous activity in V1Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortexRepresentation 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.Homeostatic scaling of excitability in recurrent neural networks.Correlated neuronal activity and the flow of neural informationA circuit-level model of hippocampal place field dynamics modulated by entorhinal grid and suppression-generating cellsLognormal firing rate distribution reveals prominent fluctuation-driven regime in spinal motor networksDynamic finite size effects in spiking neural networks.What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration.Gain control network conditions in early sensory codingInhibitory stabilization of the cortical network underlies visual surround suppressionCellular adaptation facilitates sparse and reliable coding in sensory pathways.
P2860
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P2860
description
1998 nî lūn-bûn
@nan
1998年の論文
@ja
1998年学术文章
@wuu
1998年学术文章
@zh
1998年学术文章
@zh-cn
1998年学术文章
@zh-hans
1998年学术文章
@zh-my
1998年学术文章
@zh-sg
1998年學術文章
@yue
1998年學術文章
@zh-hant
name
Chaotic balanced state in a model of cortical circuits.
@en
Chaotic balanced state in a model of cortical circuits.
@nl
type
label
Chaotic balanced state in a model of cortical circuits.
@en
Chaotic balanced state in a model of cortical circuits.
@nl
prefLabel
Chaotic balanced state in a model of cortical circuits.
@en
Chaotic balanced state in a model of cortical circuits.
@nl
P2860
P1433
P1476
Chaotic balanced state in a model of cortical circuits.
@en
P2093
Sompolinsky H
van Vreeswijk C
P2860
P304
P356
10.1162/089976698300017214
P577
1998-08-01T00:00:00Z