Title |
Non-Additive Coupling Enables Propagation of Synchronous Spiking Activity in Purely Random Networks
|
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Published in |
PLoS Computational Biology, April 2012
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DOI | 10.1371/journal.pcbi.1002384 |
Pubmed ID | |
Authors |
Raoul-Martin Memmesheimer, Marc Timme |
Abstract |
Despite the current debate about the computational role of experimentally observed precise spike patterns it is still theoretically unclear under which conditions and how they may emerge in neural circuits. Here, we study spiking neural networks with non-additive dendritic interactions that were recently uncovered in single-neuron experiments. We show that supra-additive dendritic interactions enable the persistent propagation of synchronous activity already in purely random networks without superimposed structures and explain the mechanism underlying it. This study adds a novel perspective on the dynamics of networks with nonlinear interactions in general and presents a new viable mechanism for the occurrence of patterns of precisely timed spikes in recurrent networks. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 3% |
United States | 2 | 3% |
Germany | 2 | 3% |
Canada | 1 | 1% |
Unknown | 68 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 26 | 35% |
Student > Ph. D. Student | 23 | 31% |
Professor | 5 | 7% |
Professor > Associate Professor | 5 | 7% |
Student > Master | 4 | 5% |
Other | 8 | 11% |
Unknown | 4 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 27% |
Physics and Astronomy | 11 | 15% |
Computer Science | 11 | 15% |
Neuroscience | 10 | 13% |
Mathematics | 6 | 8% |
Other | 9 | 12% |
Unknown | 8 | 11% |