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J-GLOBAL ID：201802277809031905   Reference number：18A2143511

Biologically plausible learning method with minimizing gap of local energy in asymmetric neural network

非対称ニューラルネットワークにおける局所エネルギーのギャップを最小化することによる生物学的に妥当な学習方法
Author (3)：
TOMITA Futa

About TOMITA Futa

(Osaka Univ.)

About Osaka Univ.

, 
TERAMAE Jun-nosuke

About TERAMAE Jun-nosuke

(Osaka Univ.)

About Osaka Univ.

, 
WAKAMIYA Naoki

About WAKAMIYA Naoki

(Osaka Univ.)

About Osaka Univ.


Material：
日本神経回路学会全国大会講演論文集  (Proceedings of the Annual Conference of the Japanese Neural Network Society)

About 日本神経回路学会全国大会講演論文集


Volume： 28th  Page： 120-121  Publication year： Oct. 24, 2018 
JST Material Number： L7031A  Document type： Proceedings
Article type： 短報  Country of issue： Japan (JPN)  Language： ENGLISH (EN)
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*neural network(biomodel)

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,...
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energy function

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,...
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JST classification (2)：
JST classification
Category name(code) classified by JST.
Artificial intelligence 
(JE08000Z)

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,  Brain and nervous system models 
(EL02050C)

About Brain and nervous system models

Terms in the title (7)：
Terms in the title
Keywords automatically extracted from the title.
非対称

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, 
ニューラルネットワーク

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, 
エネルギー

About エネルギー

, 
ギャップ

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, 
最小化

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, 
生物学

About 生物学

, 
学習方法

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