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JRM Vol.19 No.4 pp. 409-415
doi: 10.20965/jrm.2007.p0409
(2007)

Paper:

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Synchrony-Induced Attractor Transition in Cortical Neural Networks Organized by Spike-Timing Dependent Plasticity

Takaaki Aoki* and Toshio Aoyagi*,**

*CREST, Japan Science and Technology Corporation, Kyoto 606-8501, Japan

**Department of Applied Analysis and Complex Dynamical Systems, Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan

Received:
January 11, 2007
Accepted:
March 5, 2007
Published:
August 20, 2007
Creative Commons License
Keywords:
spike-timing dependent plasticity, neural synchrony, neural network, cortical neuron model
Abstract
Recent studies have shown that synchronous neural activity in the cortex area occurs related to behavior or recognition of animals, which suggests that such neural activity involves in information processing. Functions enabled by synchronous firing, however, are still unknown. Results reporting that a transition between recall states of associative memory is induced by external synchronous spikes in a neural network formed by spike-timing dependent plasticity indicate the possibility of a function of synchronous neural activity as a transition signal, requiring further examination using detailed cortical neuron models (AokiAoyagi). We introduced a mathematical model of pyramidal and fast-spiking cortical neurons based on Hodgkin-Huxley, and confirmed the transition between recall states through synchronous spike inputs in detailed neuron models.
Cite this article as:
T. Aoki and T. Aoyagi, “Synchrony-Induced Attractor Transition in Cortical Neural Networks Organized by Spike-Timing Dependent Plasticity,” J. Robot. Mechatron., Vol.19 No.4, pp. 409-415, 2007.
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