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Author:

Yu, Naigong (Yu, Naigong.) (Scholars:于乃功) | Fang, Lue (Fang, Lue.)

Indexed by:

CPCI-S

Abstract:

Grid cells in the medial entorhinal cortex of rats have special firing characteristics. The cells fire repeatedly and regularly corresponding to a specific spatial location. This is a relatively small space, which is called grid cells' firing fields. Multiple firing fields overlap each other, which finally forms the grid nodes. When the rat reaches any grid nodes in the environment, there exists the corresponding grid cells which discharge maximally. Furthermore, an equilateral triangle is formed by connecting grid nodes and the triangles are covered with the entire environment. Since Hafting et al discovered grid cells in entorhinal cortex of the rat in 2005, researchers have paid more attention to the regular firing structure of grid cells. With the further studying on grid cells, it proved to be that entorhinal cortex plays an important role in path integration. Most importantly, grid cells act as the function of path integrator in the process of path integration. Based on what we have mentioned above, we put forward a computational model for the formation of grid field based on path integration. Our proposed model simulates grid cells' firing fields very well in that the simulation results of our proposed model are in agreement with grid cells' biological experimental electroencephalogram results.

Keyword:

Grid cells Grid fields Path integration Entorhinal cortex

Author Community:

  • [ 1 ] [Yu, Naigong]Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing 100124, Peoples R China
  • [ 2 ] [Fang, Lue]Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing 100124, Peoples R China

Reprint Author's Address:

  • 于乃功

    [Yu, Naigong]Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing 100124, Peoples R China

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Source :

PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC)

ISSN: 1948-9439

Year: 2016

Page: 5581-5586

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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