(Q52172511)

26 April 2018

title

Computational consequences of temporally asymmetric learning rules: I. Differential hebbian learning. (English)

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26 April 2018

author name string

P D Roberts

series ordinal

1

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26 April 2018

publication date

1 November 1999

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Journal of Computational Neuroscience

published in

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volume

7

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26 April 2018

issue

3

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page(s)

235-246

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26 April 2018

maintained by WikiProject

WikiProject Mathematics

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exact match

https://scigraph.springernature.com/pub.10.1023/a:1008910918445

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cites work

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A framework for mesencephalic dopamine systems based on predictive Hebbian learning

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A critical window for cooperation and competition among developing retinotectal synapses

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Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns.

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Synchronization of cortical activity and its putative role in information processing and learning

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Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs

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Synaptic depression and cortical gain control

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Physiology and plasticity of morphologically identified cells in the mormyrid electrosensory lobe.

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Fear conditioning induces a lasting potentiation of synaptic currents in vitro.

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Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex

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Temporal contiguity requirements for long-term associative potentiation/depression in the hippocampus

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Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type

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Identifiers

DOI

10.1023/A:1008910918445

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26 April 2018

DBLP publication ID

journals/jcns/Roberts99

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DBLP Dataset 2021-01-02

Dimensions Publication ID

28 January 2021

1034460973

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26 April 2018