Reconstructing networks of pulse-coupled oscillators from spike trains

Abstract

We present an approach for reconstructing networks of pulse-coupled neuron-like oscillators from passive observation of pulse trains of all nodes. It is assumed that units are described by their phase response curves and that their phases are instantaneously reset by incoming pulses. Using an iterative procedure, we recover the properties of all nodes, namely their phase response curves and natural frequencies, as well as strengths of all directed connections.

7 pages, 7 figures

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• Revealing Network Connectivity From Dynamics
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• A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data
• A new approach to partial synchronization in globally coupled rotators

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