Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV: structuring synaptic pathways among recurrent connections.
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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.Instantaneous non-linear processing by pulse-coupled threshold units.How structure determines correlations in neuronal networksSTDP allows fast rate-modulated coding with Poisson-like spike trainsBalancing feed-forward excitation and inhibition via Hebbian inhibitory synaptic 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 interfaceStochastic variational learning in recurrent spiking networks.Limits to the development of feed-forward structures in large recurrent neuronal networks.Finite post synaptic potentials cause a fast neuronal response.Coexistence of reward and unsupervised learning during the operant conditioning of neural firing rates.Emergence of task-dependent representations in working memory circuits.Closed-Form Treatment of the Interactions between Neuronal Activity and Timing-Dependent Plasticity in Networks of Linear NeuronsSTDP in Oscillatory Recurrent Networks: Theoretical Conditions for Desynchronization and Applications to Deep Brain Stimulation.STDP in Recurrent Neuronal Networks.Spike timing-dependent plasticity as the origin of the formation of clustered synaptic efficacy engrams.Multiscale analysis of slow-fast neuronal learning models with noise.Aspects of randomness in neural graph structures.Simulating vertical and horizontal inhibition with short-term dynamics in a multi-column multi-layer model of neocortex.Eigenvalue spectra of large correlated random matrices.STDP encodes oscillation frequencies in the connections of recurrent networks of spiking neurons.From the statistics of connectivity to the statistics of spike times in neuronal networks.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 IV: structuring synaptic pathways among recurrent connections.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh-hant
name
Emergence of network structure ...... s among recurrent connections.
@en
Emergence of network structure ...... s among recurrent connections.
@nl
type
label
Emergence of network structure ...... s among recurrent connections.
@en
Emergence of network structure ...... s among recurrent connections.
@nl
prefLabel
Emergence of network structure ...... s among recurrent connections.
@en
Emergence of network structure ...... s among recurrent connections.
@nl
P50
P1476
Emergence of network structure ...... ys among recurrent connections
@en
P2093
David B Grayden
J Leo van Hemmen
P2888
P304
P356
10.1007/S00422-009-0346-1
P577
2009-11-24T00:00:00Z