𝔖 Bobbio Scriptorium
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Grid cells: The position code, neural network models of activity, and the problem of learning

✍ Scribed by Peter E. Welinder; Yoram Burak; Ila R. Fiete

Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
464 KB
Volume
18
Category
Article
ISSN
1050-9631

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✦ Synopsis

Abstract

We review progress on the modeling and theoretical fronts in the quest to unravel the computational properties of the grid cell code and to explain the mechanisms underlying grid cell dynamics. The goals of the review are to outline a coherent framework for understanding the dynamics of grid cells and their representation of space; to critically present and draw contrasts between recurrent network models of grid cells based on continuous attractor dynamics and independent‐neuron models based on temporal interference; and to suggest open questions for experiment and theory. © 2008 Wiley‐Liss, Inc.

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