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Parallel in sequence — Towards the architecture of an elementary cortical processor

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Parallel Algorithms and Architectures

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 269))

Abstract

First, a short evalution of the recent progress on the question of how the brain works is given and evidence submitted for the need of largescale computational approaches to neural computing which are as tightly as possible related to the known details of neural hardware and function. The crucial role of the firmware-level (modular) organization of neural mass for understanding the flexibility of neural computing is stressed. Based on both the anatomy of a neocortical column and an approach to the interpretation of complex scenes by the visual cortex, a functional architecture of a cortical processor is proposed with special emphasis on the dynamics of selfcontrol.

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Author information

Author notes

  1. E. Koerner

    Present address: Dep. of Engng. and Biomedical Cybernetics, The Ilmenau Institute of Technology, PF 327, GDR-6300, Ilmenau

Authors and Affiliations

  1. Bioholonics Research Project, Research Development Corporation of Japan, Nissho-Bldg., 5F, 14-24 Koishikawa 4-chome, 112, Bunkyo-ku, Tokyo, Japan

    E. Koerner & I. Tsuda

  2. Faculty of Pharmaceutical Sciences, Department of Biophysics, University of Tokyo, 113, Hongo, Bunkyo-ku, Tokyo, Japan

    H. Shimizu

Authors
  1. E. Koerner
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  2. I. Tsuda
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  3. H. Shimizu
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Editor information

Andreas Albrecht Hermann Jung Kurt Mehlhorn

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© 1987 Springer-Verlag Berlin Heidelberg

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Koerner, E., Tsuda, I., Shimizu, H. (1987). Parallel in sequence — Towards the architecture of an elementary cortical processor. In: Albrecht, A., Jung, H., Mehlhorn, K. (eds) Parallel Algorithms and Architectures. Lecture Notes in Computer Science, vol 269. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18099-0_27

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  • DOI: https://doi.org/10.1007/3-540-18099-0_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18099-9

  • Online ISBN: 978-3-540-47760-0

  • eBook Packages: Springer Book Archive

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