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Expressive power of first-order recurrent neural networks determined by their attractor dynamics

  • Published:2016-12 Issue:8 Volume:82 Page:1232-1250
  • ISSN:0022-0000
  • Container-title:Journal of Computer and System Sciences
  • language:en
  • Short-container-title:Journal of Computer and System Sciences

Author:

Cabessa JérémieORCID,Villa Alessandro E.P.ORCID

Funder

Swiss National Science Foundation

Labex MME-DII

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Networks and Communications,Theoretical Computer Science

Reference60 articles.

1. Local Cortical Circuits. An Electrophysiological Study;Abeles,1982

2. Detecting spatiotemporal firing patterns among simultaneously recorded single neurons;Abeles;J. Neurophysiol.,1988

3. Reconstruction of underlying nonlinear deterministic dynamics embedded in noisy spike trains;Asai;J. Biol. Phys.,2008

4. Integration and transmission of distributed deterministic neural activity in feed-forward networks;Asai;Brain Res.,2012

5. Cortex: Statistics and Geometry of Neuronal Connectivity;Braitenberg,1998

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