STDP-driven networks and the C. elegans neuronal network

Quansheng Ren, Kiran M. Kolwankar, Areejit Samal and Jürgen Jost

Physica A: Statistical Mechanics and its Applications, 2010, vol. 389, issue 18, 3900-3914

Abstract: We study the dynamics of the structure of a formal neural network wherein the strengths of the synapses are governed by spike-timing-dependent plasticity (STDP). For properly chosen input signals, there exists a steady state with a residual network. We compare the motif profile of such a network with that of a real neural network of C. elegans and identify robust qualitative similarities. In particular, our extensive numerical simulations show that this STDP-driven resulting network is robust under variations of the model parameters.

Keywords: Complex networks; Network evolution; Spike-timing dependent plasticity; Network motifs (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:389:y:2010:i:18:p:3900-3914

DOI: 10.1016/j.physa.2010.05.018

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