Connectivity reflects coding: a model of voltage-based STDP with homeostasis.

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Title: Connectivity reflects coding: a model of voltage-based STDP with homeostasis.
Authors: Clopath, C
Büsing, L
Vasilaki, E
Gerstner, W
Item Type: Journal Article
Abstract: Electrophysiological connectivity patterns in cortex often have a few strong connections, which are sometimes bidirectional, among a lot of weak connections. To explain these connectivity patterns, we created a model of spike timing-dependent plasticity (STDP) in which synaptic changes depend on presynaptic spike arrival and the postsynaptic membrane potential, filtered with two different time constants. Our model describes several nonlinear effects that are observed in STDP experiments, as well as the voltage dependence of plasticity. We found that, in a simulated recurrent network of spiking neurons, our plasticity rule led not only to development of localized receptive fields but also to connectivity patterns that reflect the neural code. For temporal coding procedures with spatio-temporal input correlations, strong connections were predominantly unidirectional, whereas they were bidirectional under rate-coded input with spatial correlations only. Thus, variable connectivity patterns in the brain could reflect different coding principles across brain areas; moreover, our simulations suggested that plasticity is fast.
Issue Date: 31-Mar-2010
Start Page: 344
End Page: 352
Journal / Book Title: Nat Neurosci
Volume: 13
Issue: 3
Copyright Statement: © 2010, Rights Managed by Nature Publishing Group
Conference Place: United States
Appears in Collections:Faculty of Engineering

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