Fast computation with spikes in a recurrent neural network.
about
Grid cells generate an analog error-correcting code for singularly precise neural computationA Readout Mechanism for Latency Codes.The temporal winner-take-all readoutBackground gamma rhythmicity and attention in cortical local circuits: a computational study.Gamma oscillations mediate stimulus competition and attentional selection in a cortical network modelDynamics of orientation tuning in macaque V1: the role of global and tuned suppression.Winner-take-all in a phase oscillator system with adaptation.Optimization of random searches on defective lattice networks.Computation by switching in complex networks of states.Computation with spikes in a winner-take-all network.Rhythmogenesis evolves as a consequence of long-term plasticity of inhibitory synapses
P2860
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P2860
Fast computation with spikes in a recurrent neural network.
description
2002 nî lūn-bûn
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2002年の論文
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2002年学术文章
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2002年学术文章
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name
Fast computation with spikes in a recurrent neural network.
@en
Fast computation with spikes in a recurrent neural network.
@nl
type
label
Fast computation with spikes in a recurrent neural network.
@en
Fast computation with spikes in a recurrent neural network.
@nl
prefLabel
Fast computation with spikes in a recurrent neural network.
@en
Fast computation with spikes in a recurrent neural network.
@nl
P2860
P1433
P1476
Fast computation with spikes in a recurrent neural network.
@en
P2093
Dezhe Z Jin
H Sebastian Seung
P2860
P304
P356
10.1103/PHYSREVE.65.051922
P407
P433
P577
2002-05-20T00:00:00Z