dorsal/arxiv
View SchemaDesigning the Dynamics of Spiking Neural Networks
| Authors | Raoul-Martin Memmesheimer, Marc Timme |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0601003 |
| URL | https://arxiv.org/abs/q-bio/0601003 |
| DOI | 10.1103/PhysRevLett.97.188101 |
Abstract
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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"abstract": "Precise timing of spikes and temporal locking are key elements of neural\ncomputation. Here we demonstrate how even strongly heterogeneous, deterministic\nneural networks with delayed interactions and complex topology can exhibit\nperiodic patterns of spikes that are precisely timed. We develop an analytical\nmethod to find the set of all networks exhibiting a predefined pattern\ndynamics. Such patterns may be arbitrarily long and of complicated temporal\nstructure. We point out that the same pattern can exist in very different\nnetworks and have different stability properties.",
"arxiv_id": "q-bio/0601003",
"authors": [
"Raoul-Martin Memmesheimer",
"Marc Timme"
],
"categories": [
"q-bio.NC",
"cond-mat.dis-nn"
],
"doi": "10.1103/PhysRevLett.97.188101",
"title": "Designing the Dynamics of Spiking Neural Networks",
"url": "https://arxiv.org/abs/q-bio/0601003"
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