Designing the Dynamics of Spiking Neural Networks

Details Designing the Dynamics of Spiking Neural Networks Designing the Dynamics of Spiking Neural Networks

2006-01-03

arxiv.org/abs/q-bio/0601003v2

Biology

Quantitative Biology

Neurons and Cognition

4 pages, 3 figures

Scientific paper

10.1103/PhysRevLett.97.188101

Precise timing of spikes and temporal locking are key elements of neural computation. Here we demonstrate how even strongly heterogeneous, deterministic neural networks with delayed interactions and complex topology can exhibit periodic patterns of spikes that are precisely timed. We develop an analytical method to find the set of all networks exhibiting a predefined pattern dynamics. Such patterns may be arbitrarily long and of complicated temporal structure. We point out that the same pattern can exist in very different networks and have different stability properties.

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