Self-organization in a biochemical-neuron network

Masahiro Okamoto, Yukihiro Maki, Tatsuya Sekiguchi, Satoshi Yoshida

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Mimicking the switching property of cyclic enzyme systems in metabolic pathways, we have proposed a different type of molecular switching device (post-synaptic neuron) whose mechanism can be represented by a threshold-logic function capable of storing short-term memory. We have named this system "biochemical-neuron" and have already developed the board-leveled analog circuit. In the present study, building the integrated artificial neural network system composed of biochemical-neurons, we have investigated the relationship between network responses and time-variant excited stimuli to the network, especially focusing on the examination of some neurophysiological experiments such as "selective elimination of synapses" and "associative long-term depression". Furthermore we shall discuss the information processing where the time-variant external analog signals are received and transduced to impulse signals.

Original languageEnglish
Pages (from-to)194-203
Number of pages10
JournalPhysica D: Nonlinear Phenomena
Volume84
Issue number1-2
DOIs
Publication statusPublished - Jun 15 1995

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Condensed Matter Physics
  • Applied Mathematics

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