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A self-organizing VQ model of head-direction cells and grid cells

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Abstract

In this article, we propose a three-layered self-organizing model to extract the head direction and position of a moving object separately. The model consists of three layers, each of which is a self-organizing vector quantization (VQ) model. The second layer receives inhibitory input from the first, and the third layer receives inhibitory input from the first and second. The first layer is to detect the head direction, and the second and third are to detect the position. The information representation in the second and third layers is shown to be a multi-ary expression, and the units in the third layer develop a receptive field with a grid structure, as was observed in the entorhinal cortex of a rat.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa, 903-0213, Japan

    Naoki Oshiro, Koji Kurata & Tetsuhiko Yamamoto

Authors
  1. Naoki Oshiro
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  2. Koji Kurata
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  3. Tetsuhiko Yamamoto
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Corresponding author

Correspondence to Naoki Oshiro.

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Oshiro, N., Kurata, K. & Yamamoto, T. A self-organizing VQ model of head-direction cells and grid cells. Artif Life Robotics 12, 206–209 (2008). https://doi.org/10.1007/s10015-007-0468-2

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  • DOI: https://doi.org/10.1007/s10015-007-0468-2

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