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Special Issue on Computational Neuroscience — ArticlesNo Access

BIOPHYSICAL AND PHENOMENOLOGICAL MODELS OF MULTIPLE SPIKE INTERACTIONS IN SPIKE-TIMING DEPENDENT PLASTICITY

MATHILDE BADOUAL

Integrative and Computational Neuroscience Unit (UNIC), CNRS, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France

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Integrative and Computational Neuroscience Unit (UNIC), CNRS, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France

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ANDREW P. DAVISON

Integrative and Computational Neuroscience Unit (UNIC), CNRS, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France

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MICHAEL RUDOLPH

Integrative and Computational Neuroscience Unit (UNIC), CNRS, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France

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Integrative and Computational Neuroscience Unit (UNIC), CNRS, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France

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Integrative and Computational Neuroscience Unit (UNIC), CNRS, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France

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Integrative and Computational Neuroscience Unit (UNIC), CNRS, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France

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https://doi.org/10.1142/S0129065706000524Cited by:44 (Source: Crossref)

Abstract

Spike-timing dependent plasticity (STDP) is a form of associative synaptic modification which depends on the respective timing of pre- and post-synaptic spikes. The biophysical mechanisms underlying this form of plasticity are currently not known. We present here a biophysical model which captures the characteristics of STDP, such as its frequency dependency, and the effects of spike pair or spike triplet interactions. We also make links with other well-known plasticity rules. A simplified phenomenological model is also derived, which should be useful for fast numerical simulation and analytical investigation of the impact of STDP at the network level.

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