Connectivity reflects coding: a model of voltage-based STDP with homeostasis.
File(s)Nature Neuroscience_13_3_2010.pdf (2.25 MB)
Accepted version
Author(s)
Clopath, C
Büsing, L
Vasilaki, E
Gerstner, W
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.
Date Issued
2010-03-31
Online Publication Date
2010-03
2015-04-23T14:16:06Z
Start Page
344
End Page
352
Journal / Book Title
Nat Neurosci
Volume
13
Issue
3
Copyright Statement
© 2010, Rights Managed by Nature Publishing Group
Source Database
pubmed
Identifier
http://www.ncbi.nlm.nih.gov/pubmed/20098420
nn.2479
Country
United States