A Neural Dynamics and Oscillator Interference Mixed Model of the Grid Cells for Spatial Recognition

DOI

10.2991/acaai-18.2018.26How to use a DOI?

Keywords

Grid Cells; OI; CAN; Speed Perception; Phase Reset.

Abstract

Grid cells in the MEC (media entorhinal cortex) of rats show repetitive hexagon firing pattern while moving through the environment. In the deeper layer of the MEC, a kind of interneurons have both the head-directing (HD) and grid-like firing properties. The predecessors' observations indicate the grid cells have ubiquitous intracellular rhythmic oscillating. Moreover, the grid cells' firing frequencies have interesting approximate proportion relationship with the animal's moving velocity. However, animal's perception of the motor speed might be affected by many other factors such as visual signals or external information. The oscillation interference process inevitably follows with error accumulating. Based on what we have mentioned above, we put forward an improved grid cell model that handle speed signal in a plausible way and ameliorate the effects of phase noise. And this paper's model is achieved by combining two prevailing theories together which might be closer to the scientific truth of grid cells.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Naigong Yu
AU  - Ziwei Luo
AU  - Yujia Zhai
PY  - 2018/03
DA  - 2018/03
TI  - A Neural Dynamics and Oscillator Interference Mixed Model of the Grid Cells for Spatial Recognition
BT  - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
PB  - Atlantis Press
SP  - 110
EP  - 114
SN  - 1951-6851
UR  - https://doi.org/10.2991/acaai-18.2018.26
DO  - 10.2991/acaai-18.2018.26
ID  - Yu2018/03
ER  -