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  Dynamical Entropy Production in Spiking Neuron Networks in the Balanced State

Monteforte, M., & Wolf, F. (2010). Dynamical Entropy Production in Spiking Neuron Networks in the Balanced State. Physical Review Letters, 105: 268104. doi:10.1103/PhysRevLett.105.268104.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-1201-A Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-1202-8
Genre: Journal Article

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 Creators:
Monteforte, Michael1, Author              
Wolf, Fred1, 2, Author              
Affiliations:
1Research Group Theoretical Neurophysics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063289              
2Department of Nonlinear Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063286              

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 Abstract: We demonstrate deterministic extensive chaos in the dynamics of large sparse networks of theta neurons in the balanced state. The analysis is based on numerically exact calculations of the full spectrum of Lyapunov exponents, the entropy production rate, and the attractor dimension. Extensive chaos is found in inhibitory networks and becomes more intense when an excitatory population is included. We find a strikingly high rate of entropy production that would limit information representation in cortical spike patterns to the immediate stimulus response.

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Language(s): eng - English
 Dates: 2010-12-30
 Publication Status: Published in print
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 Rev. Method: Peer
 Identifiers: eDoc: 528757
DOI: 10.1103/PhysRevLett.105.268104
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Title: Physical Review Letters
Source Genre: Journal
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Pages: - Volume / Issue: 105 Sequence Number: 268104 Start / End Page: - Identifier: -