Using Grid Cells for Navigation.

Abstract:

:Mammals are able to navigate to hidden goal locations by direct routes that may traverse previously unvisited terrain. Empirical evidence suggests that this "vector navigation" relies on an internal representation of space provided by the hippocampal formation. The periodic spatial firing patterns of grid cells in the hippocampal formation offer a compact combinatorial code for location within large-scale space. Here, we consider the computational problem of how to determine the vector between start and goal locations encoded by the firing of grid cells when this vector may be much longer than the largest grid scale. First, we present an algorithmic solution to the problem, inspired by the Fourier shift theorem. Second, we describe several potential neural network implementations of this solution that combine efficiency of search and biological plausibility. Finally, we discuss the empirical predictions of these implementations and their relationship to the anatomy and electrophysiology of the hippocampal formation.

journal_name

Neuron

journal_title

Neuron

authors

Bush D,Barry C,Manson D,Burgess N

doi

10.1016/j.neuron.2015.07.006

subject

Has Abstract

pub_date

2015-08-05 00:00:00

pages

507-20

issue

3

eissn

0896-6273

issn

1097-4199

pii

S0896-6273(15)00628-5

journal_volume

87

pub_type

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