Bri CA: A modular software platform for whole brain architecture

Kotone Itaya, Koichi Takahashi, Masayoshi Nakamura, Moriyoshi Koizumi, Naoya Arakawa, Masaru Tomita, Hiroshi Yamakawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Brain-inspired Computing Architecture (Bri CA) is a generic software platform for modular composition of machine learning algorithms. It can combine and schedule an arbitrary number of machine learning components in a brain-inspired fashion to construct higher level structures such as cognitive architectures. We would like to report and discuss the core concepts of Bri CA version 1 and prospects toward future development.

Original languageEnglish
Title of host publicationNeural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings
EditorsKenji Doya, Kazushi Ikeda, Minho Lee, Akira Hirose, Seiichi Ozawa, Derong Liu
PublisherSpringer Verlag
Pages334-341
Number of pages8
ISBN (Print)9783319466866
DOIs
Publication statusPublished - 2016
Event23rd International Conference on Neural Information Processing, ICONIP 2016 - Kyoto, Japan
Duration: 2016 Oct 162016 Oct 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9947 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other23rd International Conference on Neural Information Processing, ICONIP 2016
Country/TerritoryJapan
CityKyoto
Period16/10/1616/10/21

Keywords

  • Cognitive architecture
  • Machine learning
  • Modularity
  • Software platform
  • The whole brain architecture

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'Bri CA: A modular software platform for whole brain architecture'. Together they form a unique fingerprint.

Cite this