A memory-based entorhinal-hippocampal model and its FPGA implementation by on-chip RAMs-Reference-Cited by-同舟云学术

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A memory-based entorhinal-hippocampal model and its FPGA implementation by on-chip RAMs

Published:2022-05-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Kawashima Ichiro¹,Tateno Katsumi¹,Morie Takashi¹,Tamukoh Hakaru¹

Affiliation:

1. Kyushu Institute of Technology,Graduate School of Life Science and Systems Engineering,Japan

Funder

Technology Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9937201/9937203/09937768.pdf?arnumber=9937768

Reference12 articles.

1. A neurobiologically inspired mapping and navigating framework for mobile robots

2. NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation

3. A MODEL OF GRID CELLS BASED ON A TWISTED TORUS TOPOLOGY

4. Biomimetic FPGA-based spatial navigation model with grid cells and place cells

5. A Unified Mathematical Framework for Coding Time, Space, and Sequences in the Hippocampal Region

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CMOS digital-analog mixed signal VLSI implementation of a hippocampus-inspired model;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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