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A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map

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Neural Information Processing (ICONIP 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12533))

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Abstract

Place cells and grid cells are crucial parts of the cognitive map, which shows a presentation of the real-world observation. However, the previous architecture, which uses CAN for simulating the activities of grid cells, is redundant. And it could not generate natural activities of place cells while it needs many computing resources and storage. In this paper, we proposed a simple novel mathematic entorhinal-hippocampal system to build an accurate cognitive map by combining the activities of head direction cells, grid cells, place cells, and visual cues. It has fewer parameters and could generate a natural pattern of place cells. Moreover, we could also perform a cognitive map building system with generated weight without training.

This work was supported by the National Natural Science Foundation of China under grant number 61773271 and the National Key Research and Development Program of China under grant 2017YFB1300201.

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Author information

Authors and Affiliations

  1. College of Computer Science, Sichuan University, Chengdu, China

    Jianxin Peng & Suogui Dang

  2. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China

    Rui Yan

  3. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

    Huajin Tang

Authors
  1. Jianxin Peng
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  2. Suogui Dang
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  3. Rui Yan
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  4. Huajin Tang
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Corresponding author

Correspondence to Rui Yan .

Editor information

Editors and Affiliations

  1. Department of AI, Ping An Life, Shenzhen, China

    Haiqin Yang

  2. Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

    Kitsuchart Pasupa

  3. City University of Hong Kong, Kowloon, China

    Andrew Chi-Sing Leung

  4. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong

    James T. Kwok

  5. School of Information Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

    Jonathan H. Chan

  6. The Chinese University of Hong Kong, New Territories, Hong Kong

    Irwin King

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Peng, J., Dang, S., Yan, R., Tang, H. (2020). A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map. In: Yang, H., Pasupa, K., Leung, A.CS., Kwok, J.T., Chan, J.H., King, I. (eds) Neural Information Processing. ICONIP 2020. Lecture Notes in Computer Science(), vol 12533. Springer, Cham. https://doi.org/10.1007/978-3-030-63833-7_1

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  • DOI: https://doi.org/10.1007/978-3-030-63833-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63832-0

  • Online ISBN: 978-3-030-63833-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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