A NEURAL NETWORK MODEL OF MAPPING FROM GRID CELLS TO PLACE CELLS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SAEIDI SAREH; TOWHIDKHAH FARZAD

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: SIGNAL AND DATA PROCESSING Year:2009 | Volume:- | Issue:2 (SERIAL 12) Page(s): 53-62

Download Full-Text

Persian Verion

View:

1,601

Download:

Cites:

Information Journal Paper

Title

A NEURAL NETWORK MODEL OF MAPPING FROM GRID CELLS TO PLACE CELLS

Author(s)

SAEIDI SAREH | TOWHIDKHAH FARZAD | Issue Writer Certificate

Keywords

PLACE CELLQ3

GRID CELLQ3

HIPPOCAMPUSQ3

ENTORHINAL CORTEXQ3

Abstract

Medial ENTORHINAL CORTEX is known to be the hub of a brain system for navigation and spatial representation. These cells increase firing frequency at multiple regions in the environment, arranged in regular triangular grids. Each cell has some properties including spacing, orientation, and phase shift of the nodes of its grid. ENTORHINAL CORTEX is commonly perceived to be the major input and output structure of hippocampal formation; GRID CELLs are one synapse upstream of PLACE CELLs in HIPPOCAMPUS. The problem is how single confined place fields can be generated from the repetitive activity of GRID CELLs. In this article we have proposed an artificial neural network model based on radial basis function, which allows for the single confined place fields of hippocampal pyramidal cells to be emerged from the activities of GRID CELLs. In order to evaluate the performance of the model, it was considered in two steps in a one-dimensional and two-dimensional environment. Simulations were done considering different characteristics of GRID CELLs and the model demonstrated a good performance in generating single spot activity for place fields.

Cites

No record.

References

No record.

Cite

APA: Copy

SAEIDI, SAREH, & TOWHIDKHAH, FARZAD. (2009). A NEURAL NETWORK MODEL OF MAPPING FROM GRID CELLS TO PLACE CELLS. SIGNAL AND DATA PROCESSING, -(2 (SERIAL 12)), 53-62. SID. https://sid.ir/paper/160807/en

Vancouver: Copy

SAEIDI SAREH, TOWHIDKHAH FARZAD. A NEURAL NETWORK MODEL OF MAPPING FROM GRID CELLS TO PLACE CELLS. SIGNAL AND DATA PROCESSING[Internet]. 2009;-(2 (SERIAL 12)):53-62. Available from: https://sid.ir/paper/160807/en

IEEE: Copy

SAREH SAEIDI, and FARZAD TOWHIDKHAH, “A NEURAL NETWORK MODEL OF MAPPING FROM GRID CELLS TO PLACE CELLS,” SIGNAL AND DATA PROCESSING, vol. -, no. 2 (SERIAL 12), pp. 53–62, 2009, [Online]. Available: https://sid.ir/paper/160807/en

Related Journal Papers