Volume 6, Issue 1, June 2019, Pages 42 - 47
Possible Mechanism of Internal Visual Perception: Context-dependent Processing by Predictive Coding and Reservoir Computing Network
Authors
Hiroto Tamura1, *, Yuichi Katori2, 3, Kazuyuki Aihara3
1Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
2Future University Hakodate, 116-2 Kamedanakano-cho, Hakodate, Hokkaido 041-8655, Japan
3Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
*Corresponding author. Email: hiroto0324@sat.t.u-tokyo.ac.jp
Corresponding Author
Hiroto Tamura
Received 12 October 2018, Accepted 28 November 2018, Available Online 25 June 2019.
- DOI
- 10.2991/jrnal.k.190531.009How to use a DOI?
- Keywords
- Visual system; perception; predictive coding; reservoir computing; context; nonlinear dynamics
- Abstract
The predictive coding is a widely accepted hypothesis on how our internal visual perceptions are generated. Dynamical predictive coding with reservoir computing (PCRC) models have been proposed, but how they work remains to be clarified. Therefore, we first construct a simple PCRC network and analyze the nonlinear dynamics underlying it. Since the influence of contexts is another important factor on the visual perception, we also construct PCRC networks for the context-dependent task, and observe their attractor-landscapes on each context.
- Copyright
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Hiroto Tamura AU - Yuichi Katori AU - Kazuyuki Aihara PY - 2019 DA - 2019/06/25 TI - Possible Mechanism of Internal Visual Perception: Context-dependent Processing by Predictive Coding and Reservoir Computing Network JO - Journal of Robotics, Networking and Artificial Life SP - 42 EP - 47 VL - 6 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.190531.009 DO - 10.2991/jrnal.k.190531.009 ID - Tamura2019 ER -