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Brain-Inspired Information Technology

  • Akitoshi Hanazawa
  • Tsutom Miki
  • Keiichi Horio

Part of the Studies in Computational Intelligence book series (SCI, volume 266)

Table of contents

  1. Front Matter
  2. Samuel Kaski
    Pages 11-13
  3. Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov
    Pages 15-27
  4. Tsutomu Miki, Takuya Inoue, Yuta Goto, Masahiko Watanabe, Hatsuo Hayashi
    Pages 29-32
  5. Masumi Ishikawa, Masahiro Nagamatsu, Takao Hagiwara, Naoyuki Yamamoto, Fumiko Kiriake, Takehiko Nishida et al.
    Pages 33-38
  6. Shinji Nagano, Yoichi Fujimoto, Masahiro Nagamatu
    Pages 69-72
  7. Akira Masuda, Kimiya Narikiyo, Noboru Shiota, Shuji Aou
    Pages 73-78
  8. Tomoko Tsuruoka, Tetsuya Fujimoto, Noboru Shiota, Makoto Monda, Yukiko Fueta, Toru Ishidao et al.
    Pages 79-84
  9. Takao Inoue, Balázs Lukáts, Tomohiko Fujimoto, Kotaro Moritake, Takeshi Hasegawa, Zoltán Karádi et al.
    Pages 85-89
  10. Yasunori Takemura, Makoto Ishitsuka, Shuhei Nishida, Kazuo Ishii, Tetsuo Furukawa
    Pages 91-96
  11. Atushi Kanda, Masanori Sato, Kazuo Ishii
    Pages 97-102
  12. Ahmad Ghaderi, Amir A. F. Nassiraei, Kazuo Ishii
    Pages 103-108
  13. Kazuki Nakada, Katsumi Tateno, Hatsuo Hayashi, Kiyonori Yoshii
    Pages 129-133
  14. Atsushi Sanada, Kazuo Ishii, Tetsuya Yagi
    Pages 135-139
  15. Ishtiaq R. Khan, Takashi Morie, Hiroyuki Miyamoto, Yasutaka Kuriya, Masaki Shimizu
    Pages 141-145
  16. Takuji Kamada, Akitoshi Hanazawa, Takashi Morie
    Pages 147-151
  17. Haichao Liang, Youhei Suzuki, Takashi Morie, Kaziki Nakada, Tsutomu Miki, Hatsuo Hayashi
    Pages 153-158
  18. Jun Igarashi, Katsumi Tateno, Kazuki Nakada, Tsutomu Miki, Yoshitaka Ohtubo, Kiyonori Yoshii
    Pages 159-164
  19. Satoshi Sonoh, Shuji Aou, Keiichi Horio, Hakaru Tamukoh, Takanori Koga, Naoki Shimo et al.
    Pages 165-170
  20. Naoki Shimo, Shaoning Pang, Keiichi Horio, Nikola Kasabov, Hakaru Tamukoh, Takanori Koga et al.
    Pages 171-175
  21. Back Matter

About this book

Introduction

"Brain-inspired information technology" is one of key concepts for the development of information technology in the next generation. Explosive progress of computer technology has been continuing based on a simple principle called "if-then rule". This means that the programmer of software have to direct every action of the computer programs in response to various inputs. There inherently is a limitation of complexity because we human have a limited capacity for managing complex systems. Actually, many bugs, mistakes of programming, exist in computer software, and it is quite difficult to extinguish them. The parts of computer programs where computer viruses attack are also a kind of programming mistakes, called security hole. Of course, human body or nervous system is not perfect. No creator or director, however, exists for us. The function of our brain is equipped by learning, self-organization, natural selection, and etc, resulting in adaptive and flexible information system. Brain-inspired information technology is aiming to realize such nature-made information processing system by using present computer system or specific hardware. To do so, researchers in various research fields are getting together to inspire each other and challenge cooperatively for the same goal.

Keywords

Information Technology (IT) Navigation Processing behavior information processing learning neural network neural networks optimization organization performance programming reinforcement learning robot spiking neural network

Editors and affiliations

  • Akitoshi Hanazawa
    • 1
  • Tsutom Miki
    • 1
  • Keiichi Horio
    • 2
  1. 1.Department of Brain Science and Engineering, Graduate School of Life Science and System EngineeringKyushu Institute of TechnologyKitakyushu, FukuokaJapan
  2. 2.Department of Brain Science and Engineering , Graduate School of Life Science and System EngineeringKyushu Institute of TechnologyKitakyushu, FukuokaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-04025-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-04024-5
  • Online ISBN 978-3-642-04025-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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