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Connectivity reflects coding: A model of voltage-based spike-timing-dependent-plasticity with homeostasis

Claudia Clopath¹, Lars Büsing², Eleni Vasilaki¹ & Wulfram Gerstner¹

Correspondence: (Login to view email address)

1. EPFL, IC and Brain-Mind Institute
2. TU Graz, Institute for Theoretical Computer Science

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Document Type:

Manuscript

Date:

Received 22 June 2009 09:12 UTC; Posted 22 June 2009

Subjects:

Neuroscience

Tags:

• synaptic plasticity
• STDP
• LTP
• LTD
• Voltage
• Spike Triplet
• Coding

Abstract:

Electrophysiological connectivity patterns in cortex often show a few strong connections in a sea of weak connections. In some brain areas a large fraction of strong connections are bidirectional, in others they are mainly unidirectional. In order to explain these connectivity patterns, we use a model of Spike-Timing-Dependent Plasticity where synaptic changes depend on presynaptic spike arrival and the postsynaptic membrane potential. The model describes several nonlinear effects in STDP experiments, as well as the voltage dependence of plasticity under voltage clamp and classical paradigms of LTP/LTD induction. We show that in a simulated recurrent network of spiking neurons our plasticity rule leads not only to receptive field development, but also to connectivity patterns that reflect the neural code: for temporal coding paradigms strong connections are predominantly unidirectional, whereas they are bidirectional under rate coding. Thus variable connectivity patterns in the brain could reflect different coding principles across brain areas.

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This document is licensed to the public under the Creative Commons Attribution 3.0 License

How to cite this document:

Clopath, Claudia, Büsing, Lars, Vasilaki, Eleni, and Gerstner, Wulfram. Connectivity reflects coding: A model of voltage-based spike-timing-dependent-plasticity with homeostasis. Available from Nature Precedings <http://hdl.handle.net/10101/npre.2009.3362.1> (2009)

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