Self-organization of neural networks

John W. Clark; Jeffrey V. Winston; Johann Rafelski

doi:10.1016/0375-9601(84)90944-7

Self-organization of neural networks

John W. Clark, Jeffrey V. Winston, Johann Rafelski

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

The plastic development of a neural-network model operating autonomously in discrete time is described by the temporal modification of interneuronal coupling strengths according to momentary neural activity. A simple algorithm ("brainwashing") is found which, applied to nets with initially quasirandom connectivity, leads to model networks with properties conductive to the simulation of memory and learning phenomena.

Original language	English (US)
Pages (from-to)	207-211
Number of pages	5
Journal	Physics Letters A
Volume	102
Issue number	4
DOIs	https://doi.org/10.1016/0375-9601(84)90944-7
State	Published - May 14 1984
Externally published	Yes

ASJC Scopus subject areas

General Physics and Astronomy

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10.1016/0375-9601(84)90944-7

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title = "Self-organization of neural networks",

abstract = "The plastic development of a neural-network model operating autonomously in discrete time is described by the temporal modification of interneuronal coupling strengths according to momentary neural activity. A simple algorithm ({"}brainwashing{"}) is found which, applied to nets with initially quasirandom connectivity, leads to model networks with properties conductive to the simulation of memory and learning phenomena.",

author = "Clark, {John W.} and Winston, {Jeffrey V.} and Johann Rafelski",

year = "1984",

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AU - Clark, John W.

AU - Winston, Jeffrey V.

AU - Rafelski, Johann

PY - 1984/5/14

Y1 - 1984/5/14

N2 - The plastic development of a neural-network model operating autonomously in discrete time is described by the temporal modification of interneuronal coupling strengths according to momentary neural activity. A simple algorithm ("brainwashing") is found which, applied to nets with initially quasirandom connectivity, leads to model networks with properties conductive to the simulation of memory and learning phenomena.

AB - The plastic development of a neural-network model operating autonomously in discrete time is described by the temporal modification of interneuronal coupling strengths according to momentary neural activity. A simple algorithm ("brainwashing") is found which, applied to nets with initially quasirandom connectivity, leads to model networks with properties conductive to the simulation of memory and learning phenomena.

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DO - 10.1016/0375-9601(84)90944-7

M3 - Article

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VL - 102

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EP - 211

JO - Physics Letters A

JF - Physics Letters A

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Self-organization of neural networks

Abstract

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