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Brain-Inspired Information Technology

  • Book
  • © 2010

Overview

Editors:
  1. Akitoshi Hanazawa

    1. Department of Brain Science and Engineering, Graduate School of Life Science and System Engineering, Kyushu Institute of Technology, Kitakyushu, Fukuoka, Japan

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  2. Tsutom Miki

    1. Department of Brain Science and Engineering, Graduate School of Life Science and System Engineering, Kyushu Institute of Technology, Kitakyushu, Fukuoka, Japan

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  3. Keiichi Horio

    1. Department of Brain Science and Engineering , Graduate School of Life Science and System Engineering, Kyushu Institute of Technology, Kitakyushu, Fukuoka, Japan

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  • Recent results in brain inspired information technology

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

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Table of contents (29 chapters)

  1. Front Matter

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  2. Mission Capable Autonomous Control Systems in the Oceans, in the Air and in Space

    • Sandor M. Veres
    Pages 1-10

  3. Three Paths to Relevance

    • Samuel Kaski
    Pages 11-13

  4. Brain-Like Evolving Spiking Neural Networks for Multimodal Information Processing

    • Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov
    Pages 15-27

  5. Human-Like Local Navigation System Inspired by a Hippocampal Memory Mechanism

    • Tsutomu Miki, Takuya Inoue, Yuta Goto, Masahiko Watanabe, Hatsuo Hayashi
    Pages 29-32

  6. Brain-Inspired Emergence of Behaviors Based on Values and Curiosity in Mobile Robots

    • Masumi Ishikawa, Masahiro Nagamatsu, Takao Hagiwara, Naoyuki Yamamoto, Fumiko Kiriake, Takehiko Nishida et al.
    Pages 33-38

  7. Emergence of Behaviors by Reinforcement Learning Based on the Desire for Existence

    • Takao Hagiwara, Masumi Ishikawa
    Pages 39-44

  8. Classification and Novelty Detection of Omni-view Images Taken from a Mobile Robot

    • Fumiko Kiriake, Masumi Ishikawa
    Pages 45-49

  9. Curiosity and Boredom Based on Prediction Error as Novel Internal Rewards

    • Naoyuki Yamamoto, Masumi Ishikawa
    Pages 51-55

  10. Skill Transfer of a Mobile Robot Obtained by Reinforcement Learning to a Different Mobile Robot

    • Keiji Kamei, Masumi Ishikawa
    Pages 57-62

  11. Effect of Fitness Functions on the Performance of Evolutionary Particle Swarm Optimization

    • Hong Zhang, Masumi Ishikawa
    Pages 63-68

  12. Constraint Satisfaction with Neural Network for Trajectory Planning

    • Shinji Nagano, Yoichi Fujimoto, Masahiro Nagamatu
    Pages 69-72

  13. Acquisition and Extinction of Avoidance Response by Social Interaction in Rats

    • Akira Masuda, Kimiya Narikiyo, Noboru Shiota, Shuji Aou
    Pages 73-78

  14. Positive and Negative Effects of Environmental Chemicals on Brain Function in Rodents

    • Tomoko Tsuruoka, Tetsuya Fujimoto, Noboru Shiota, Makoto Monda, Yukiko Fueta, Toru Ishidao et al.
    Pages 79-84

  15. Category Recognition in the Monkey Orbitofrontal Cortex

    • Takao Inoue, Balázs Lukáts, Tomohiko Fujimoto, Kotaro Moritake, Takeshi Hasegawa, Zoltán Karádi et al.
    Pages 85-89

  16. An Adaptive Controller System Using mnSOM (2nd Report: Implementation into an Autonomous Underwater Robot)

    • Yasunori Takemura, Makoto Ishitsuka, Shuhei Nishida, Kazuo Ishii, Tetsuo Furukawa
    Pages 91-96

  17. An Environment Recognition System Using SOM

    • Atushi Kanda, Masanori Sato, Kazuo Ishii
    Pages 97-102

  18. A Novel Embedded Computer Based Autonomous Robot for Sewer Pipe Inspection

    • Ahmad Ghaderi, Amir A. F. Nassiraei, Kazuo Ishii
    Pages 103-108

  19. The Angular Threshold for Frog Collision Avoidance Behavior Changes Depending on Not Only the Stimulus Location But Also the Behavioral Strategy

    • Hideki Nakagawa, Ryota Nishioka
    Pages 109-113

  20. Spike-Timing-Dependent LTP/LTD Caused by Uncorrelated Signals through Medial and Lateral Perforant Pathways in the Dentate Granule Cell

    • Yukihiro Nonaka, Hatsuo Hayashi
    Pages 115-118
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Keywords

About this book

"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.

Editors and Affiliations

  • Department of Brain Science and Engineering, Graduate School of Life Science and System Engineering, Kyushu Institute of Technology, Kitakyushu, Fukuoka, Japan

    Akitoshi Hanazawa, Tsutom Miki

  • Department of Brain Science and Engineering , Graduate School of Life Science and System Engineering, Kyushu Institute of Technology, Kitakyushu, Fukuoka, Japan

    Keiichi Horio

Bibliographic Information

  • Book Title: Brain-Inspired Information Technology

  • Editors: Akitoshi Hanazawa, Tsutom Miki, Keiichi Horio

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-04025-2

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2010

  • Hardcover ISBN: 978-3-642-04024-5Published: 22 September 2010

  • Softcover ISBN: 978-3-642-26513-6Published: 06 November 2012

  • eBook ISBN: 978-3-642-04025-2Published: 23 November 2009

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 178

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence, Neurosciences

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