Retrieval Property of Attractor Network with Synaptic Depression(General)

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概要

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• Synaptic connections are known to change dynamically. High-frequency presynaptic inputs induce decrease of synaptic weights. This process is known as short-term synaptic depression. The synaptic depression controls a gain for presynaptic inputs. However, it remains a controversial issue what are functional roles of this gain control. We propose a new hypothesis that one of the functional roles is to enlarge basins of attraction. To verify this hypothesis, we employ a binary discrete-time associative memory model which consists of excitatory and inhibitory neurons. It is known that the excitatory-inhibitory balance controls an overall activity of the network. The synaptic depression might incorporate an activity control mechanism. Using a mean-field theory and computer simulations, we find that the synaptic depression enlarges the basins at a small loading rate while the excitatory-inhibitory balance enlarges them at a large loading rate. Furthermore the synaptic depression does not affect the steady state of the network if a threshold is set at an appropriate value. These results suggest that the synaptic depression works in addition to the effect of the excitatory-inhibitory balance, and it might improve an error-correcting ability in cortical circuits.

• 社団法人日本物理学会の論文
• 2007-08-15

著者

• OKADA MASATO

  Graduate School of Frontier Sciences, The University of Tokyo

• Watanabe Masataka

  Faculty Of Environ. Information Keio University

• Watanabe Masataka

  Faculty Of Engineering University Of Tokyo

• MATSUMOTO Narihisa

  Neuroscience Research Institute, National Institute of Advanced Industrial Science and Technology (A

• IDE Daisuke

  Faculty of Engineering, University of Tokyo

• Ide Daisuke

  Faculty Of Engineering University Of Tokyo

• Matsumoto Narihisa

  Neuroscience Research Institute National Institute Of Advanced Industrial Science And Technology (ai

• Okada Masato

  Graduate School Of Frontier Sciences The University Of Tokyo

• Okada Masato

  Graduate School Of Frontier Sciences University Of Tokyo:presto Japan Science And Technology Agency

• Okada Masato

  Graduate School Of Engineering Science Osaka University

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