Optimal properties of analog perceptrons with excitatory weights.
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Energy Efficient Sparse Connectivity from Imbalanced Synaptic Plasticity RulesA Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural NetworksPurkinje cell intrinsic excitability increases after synaptic long term depression.Latching dynamics in neural networks with synaptic depression.Is cortical connectivity optimized for storing information?Cerebellar learning using perturbations
P2860
Optimal properties of analog perceptrons with excitatory weights.
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2013 թուականի Փետրուարին հրատարակուած գիտական յօդուած
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2013 թվականի փետրվարին հրատարակված գիտական հոդված
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2013年の論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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Optimal properties of analog perceptrons with excitatory weights.
@ast
Optimal properties of analog perceptrons with excitatory weights.
@en
Optimal properties of analog perceptrons with excitatory weights.
@nl
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label
Optimal properties of analog perceptrons with excitatory weights.
@ast
Optimal properties of analog perceptrons with excitatory weights.
@en
Optimal properties of analog perceptrons with excitatory weights.
@nl
prefLabel
Optimal properties of analog perceptrons with excitatory weights.
@ast
Optimal properties of analog perceptrons with excitatory weights.
@en
Optimal properties of analog perceptrons with excitatory weights.
@nl
P2860
P1476
Optimal properties of analog perceptrons with excitatory weights.
@en
P2093
Claudia Clopath
Nicolas Brunel
P2860
P304
P356
10.1371/JOURNAL.PCBI.1002919
P577
2013-02-21T00:00:00Z