Trends in Neural Engineering

• Takahashi Hirokazu

  Research Center for Advanced Science and Technology, The University of Tokyo

• Jimbo Yasuhiko

  Graduate School of Frontier Sciences, the University of Tokyo

Bibliographic Information

Other Title

• 神経工学の潮流
• シンケイ コウガク ノ チョウリュウ

Abstract

The Moore's law predicting that the number of transistors on integrated circuits doubles every 18 months since 1970's has been underlying industrial innovation. In the field of neuroscience, a similar trend is observed for the number of simultaneously recorded neuronal cells, which has doubled every 7.4 years since the late 1950's. Neural engineering has emerged from the confluence of these two technological trends and has significantly promoted a number of progresses in our understanding of the brain and the developments of neural prosthesis. In the present paper, we introduce how innovative instrumentation engineering and information technologies have brought benefits in our daily physiological experiments and sometimes led to major discoveries in a discontinuous manner. Furthermore, increasing capacity to acquire and analyze massive data may change not only treatments of neural data, but also scientific approaches in neuroscience.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 133 (3), 544-549, 2013

  The Institute of Electrical Engineers of Japan

Keywords

• Brain
• neuron
• synchronization
• microelectrode array
• machine learning

Details

• CRID: 1390001204607955328
• NII Article ID: 10031155345
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.133.544
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 024348844
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I024348844
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss/133/3/133_544/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed