Cortex and thalamic neuron models for digital arithmetic circuit

• NANAMI Takuya

  東京大学大学院　工学系研究科

• KOHNO Takashi

  東京大学生産技術研究所　情報・エレクトロニクス系部門

Bibliographic Information

Other Title

• デジタル演算回路実装に適した大脳皮質及び視床の神経細胞モデル
• デジタル エンザン カイロ ジッソウ ニ テキシタ ダイノウ ヒシツ オヨビ シショウ ノ シンケイ サイボウ モデル

Abstract

A wide variety of neuron models are studied at different positions in the trade-off between reproducibility of neural activity and computational efficiency. The DSSN model is one of them, which is designed so that it can be effectively implemented in digital arithmetic circuits with small hardware resources. We found appropriate parameter sets for the DSSN model that correspond to the Hodgkin-Huxley-type neuron models of 4 classes of cortical and thalamic neurons. Firstly, we developed 3-variable neuron models by applying a dimension reduction technique to those Hodgkin-Huxley-type neuron models, whose mathematical structures are elucidated by bifurcation analysis. Then, we determined the parameter sets that reproduce these mathematical structures and are able to reproduce characteristic behavior in each class.

Journal

• SEISAN KENKYU

  SEISAN KENKYU 67 (3), 297-300, 2015

  Institute of Industrial Science The University of Tokyo

Details

• CRID: 1390282679038105472
• NII Article ID: 130005074274
• NII Book ID: AN00127075
• DOI: 10.11188/seisankenkyu.67.297
• ISSN: 18812058
• ISSN: 0037105X
• NDL BIB ID: 026522676
• Web Site: http://id.ndl.go.jp/bib/026522676
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I026522676
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed