Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence.
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Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. I: Spike Generating Models on Converging MotifsDendritic and Axonal Propagation Delays Determine Emergent Structures of Neuronal Networks with Plastic Synapses.Stability versus neuronal specialization for STDP: long-tail weight distributions solve the dilemma.STDP allows fast rate-modulated coding with Poisson-like spike trainsBalancing feed-forward excitation and inhibition via Hebbian inhibitory synaptic plasticity.Spectral analysis of input spike trains by spike-timing-dependent plasticity.Delay selection by spike-timing-dependent plasticity in recurrent networks of spiking neurons receiving oscillatory inputsPairwise analysis can account for network structures arising from spike-timing dependent plasticityInterplay between short- and long-term plasticity in cell-assembly formationSelf-Organization of Microcircuits in Networks of Spiking Neurons with Plastic Synapses.Oscillations via Spike-Timing Dependent Plasticity in a Feed-Forward Model.Correlation-based model of artificially induced plasticity in motor cortex by a bidirectional brain-computer interfaceCoexistence of reward and unsupervised learning during the operant conditioning of neural firing rates.A high-capacity model for one shot association learning in the brain.STDP in Recurrent Neuronal Networks.Balancing the critical period of spiking neurons with attractor-less STDP.Frequency selectivity emerging from spike-timing-dependent plasticity.Effects of Firing Variability on Network Structures with Spike-Timing-Dependent Plasticity.Rhythmogenesis evolves as a consequence of long-term plasticity of inhibitory synapsesDelay-Induced Multistability and Loop Formation in Neuronal Networks with Spike-Timing-Dependent Plasticity
P2860
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P2860
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh-hant
name
Emergence of network structure ...... schemes and weight dependence.
@en
Emergence of network structure ...... schemes and weight dependence.
@nl
type
label
Emergence of network structure ...... schemes and weight dependence.
@en
Emergence of network structure ...... schemes and weight dependence.
@nl
prefLabel
Emergence of network structure ...... schemes and weight dependence.
@en
Emergence of network structure ...... schemes and weight dependence.
@nl
P2093
P2860
P1476
Emergence of network structure ...... schemes and weight dependence.
@en
P2093
Anthony N Burkitt
David B Grayden
J Leo van Hemmen
P2860
P2888
P304
P356
10.1007/S00422-010-0405-7
P577
2010-09-29T00:00:00Z