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
Neuronjournal_title
Neuronauthors
Bush D,Barry C,Manson D,Burgess Ndoi
10.1016/j.neuron.2015.07.006subject
Has Abstractpub_date
2015-08-05 00:00:00pages
507-20issue
3eissn
0896-6273issn
1097-4199pii
S0896-6273(15)00628-5journal_volume
87pub_type
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