Distinction of Coexistent Attractors in an Attractor Neural Network Model Using a Relaxation Process of Fluctuations in Firing Rates : Analysis with Statistical Mechanics(General)

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概要

• 論文の詳細を見る

• Griniasty et al. introduced an attractor neural network of the temporal cortex based on the correlationtype associative memory model. In this model, there are parameter regions where the Hopfield attractor and the correlated attractor coexist. We study a method of distinguishing these two attractors. For this purpose, we examine the relaxations of neural firing rate fluctuations. In other words, we introduce sublattices and calculate the correlations of firing rate fluctuations in the sublattices using a statistical mechanical method and Monte Carlo simulations. As a result, we found that the relaxation time for the correlated attractor is longer than that for the Hop field attractor. Therefore, two bistable attractors can be distinguished by observing relaxation times.

• 社団法人日本物理学会の論文
• 2006-10-15

著者

• OKADA Masato

  Division of Protein Metabolism, Institute for Protein Research, Osaka University

• OKADA MASATO

  Graduate School of Frontier Sciences, The University of Tokyo

• UEZU Tatsuya

  Graduate School of Humanities and Sciences, Nara Women's University

• Uezu Tatsuya

  Graduate School Of Human Culture Nara Women's University

• TANIMOTO Sawako

  Graduate School of Sciences and Humanities, Nara Women's University

• KIMOTO Tomoyuki

  Department of Electrical and Electronic Engineering, Oita National College of Technology

• OKADA Masato

  University of Tokyo

• Tanimoto Sawako

  Graduate School Of Sciences And Humanities Nara Women's University

• Okada Masato

  Division Of Transdisciplinary Of Sciences Graduate School Of Frontier Sciences The University Of Tok

• Okada Masato

  Division Of Protein Metabolism Institute For Protein Research Osaka University

• Uezu Tatsuya

  Nara Women's Univ. Nara

• OKADA Masato

  Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute:"Intelligent Cooperation and Control", PRESTO, JST, co RIKEN BSI:Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, the University of To

• Okada Masato

  Division of Allergy and Rheumatology, St. Luke's International Hospital, Japan

• OKADA Masato

  Division of Allergy and Rheumatology, St. Luke's International Hospital

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