[info] Connectionists: A new paper on stochastic synchrony of chaos in PNN

Eugen Leitl <eugen at leitl.org> on Mon Jun 23 14:06:59 UTC 2008

----- Forwarded message from Takashi KANAMARU <neuralassembly at yahoo.co.jp> -----

From: Takashi KANAMARU <neuralassembly at yahoo.co.jp>
Date: Wed, 11 Jun 2008 21:39:56 +0900 (JST)
To: connectionists at cs.cmu.edu
Subject: Connectionists: A new paper on stochastic synchrony of chaos in PNN


   Dear all,
   I would like to announce a new paper on
   stochastic synchrony of chaos in PNN is available
   from the following page.
   http://brain.cc.kogakuin.ac.jp/~kanamaru/research/
   Takashi Kanamaru and Kazuyuki Aihara,
   "Stochastic synchrony of chaos in a pulse coupled neural network
   with both chemical and electrical synapses among inhibitory neurons,"
   Neural Computation, vol.20, no.8 (2008) pp.1951-1972.
   http://brain.cc.kogakuin.ac.jp/~kanamaru/research/kanamaru-nc2008.pdf
   Simulator (Please note that Java simulator would be launched.)
   http://brain.cc.kogakuin.ac.jp/~kanamaru/Chaos/e/sSync/
   [Abstract]
   The synchronous firing of neurons in a pulse coupled
   neural network composed of excitatory and inhibitory neurons
   is analyzed. The neurons are connected by both chemical synapses
   and electrical synapses among the inhibitory neurons.
   By introducing electrical synapses, periodically synchronized firing
   as well as chaotically synchronized firing is widely observed.
   Moreover, we find stochastic synchrony where the ensemble-averaged
   dynamics shows synchronization in the network but each neuron has
   a low firing rate and the firing of the neurons seems to be
   stochastic.
   Stochastic synchrony of chaos corresponding to a chaotic attractor
   is also found.
   Best regards,
   Takashi KANAMARU
   http://brain.cc.kogakuin.ac.jp/~kanamaru/
   Department of Innovative Mechanical Engineering,
   Faculty of Global Engineering, Kogakuin University,
   2665-1 Nakano, Hachioji-city, Tokyo 192-0015, Japan

----- End forwarded message -----
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Eugen* Leitl <a href="http://leitl.org">leitl</a> http://leitl.org
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