Large-scale silicon neuronal network based on digital arithmetic circuits

2015 Fiscal Year Final Research Report

• Project/Area Number: 25240045
• Research Category: Grant-in-Aid for Scientific Research (A)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Life / Health / Medical informatics
• Research Institution: The University of Tokyo
• Principal Investigator: KOHNO Takashi 東京大学, 生産技術研究所, 准教授 (90447350)
• Co-Investigator(Kenkyū-buntansha): FUJITA Masahiro 東京大学, 大規模集積システム設計教育研究センター, 教授 (70323524)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 脳型情報処理 / 神経模倣システム / 神経ネットワークモデル

Outline of Final Research Achievements

A silicon neuronal network is an electronic-circuit version of the nervous system by which brain-morphic computers are expected to be efficiently realized. We constructed fundamental technologies for large-scale silicon neuronal networks in which the silicon neuronal and synapse models based on the techniques of qualitative neuronal modeling support the neuronal activities that could not be reproduced in conventional silicon neuronal networks. They include a silicon neuronal model library that supports a wide variety of complex neuronal activities, a learning circuit that realize the spike-timing dependent plasticity, an inter-chip connecting technology, and a design techniques for large-scale silicon neuronal systems.

Free Research Field

神経模倣システム、定性的神経モデリング