1996
DOI: 10.1002/(sici)1098-1063(1996)6:3<247::aid-hipo4>3.0.co;2-k
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Theory of rodent navigation based on interacting representations of space

Abstract: We present a computational theory of navigation in rodents based on interacting representations of place, head direction, and local view. An associated computer model is able to replicate a variety of behavioral and neurophysiological results from the rodent navigation literature. The theory and model generate predictions that are testable with current technologies. © 1996 Wiley‐Liss, Inc.

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Cited by 228 publications
(190 citation statements)
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References 66 publications
(108 reference statements)
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“…where ΔΦ i = Φ L − φ LC i is the angular distance between the direction of the landmark Φ L and the cell's preferred direction, and Δ R→L is the distance from the animat to the landmark in centimeters (see in, e.g., Brown and Sharp (1995), Touretzky and Redish (1996), for similar modeling of sensory input). The width of the Gaussian centered at the landmark direction increases as the animat approaches the landmark, expressing the fact that the landmark image takes up a larger part of the view field if the animat is close to the landmark.…”
Section: Taxon Expertmentioning
confidence: 99%
“…where ΔΦ i = Φ L − φ LC i is the angular distance between the direction of the landmark Φ L and the cell's preferred direction, and Δ R→L is the distance from the animat to the landmark in centimeters (see in, e.g., Brown and Sharp (1995), Touretzky and Redish (1996), for similar modeling of sensory input). The width of the Gaussian centered at the landmark direction increases as the animat approaches the landmark, expressing the fact that the landmark image takes up a larger part of the view field if the animat is close to the landmark.…”
Section: Taxon Expertmentioning
confidence: 99%
“…However, in order to accommodate all the known properties of hippocampal 'place' cells, one needs to include a variety of computational properties, including inputs from (presumably highly-processed) sensory representations, inputs from an intrinsic (extrahippocampal) coordinate system (updated by vestibular, proprioceptive, and motor-system efferent-copy), and intrinsic (intrahippocampal) autoassociator dynamics [173]. Taking this as a generalized computational model of hippocampus, the hippocampus is essentially representing the association between external (sensory) and internal (idiothetic) cues [108,150,173,177,225].…”
Section: The Multiple-map Hypothesismentioning
confidence: 99%
“…As noted above, cells in extra-hippocampal structures tend to be insensitive to the environmental changes that hippocampal cells are sensitive to [123,167,201,203]. This internal coordinate system has been termed the path-integration system by a number of authors [86,108,177,196,225,231].…”
Section: The Multiple-map Hypothesismentioning
confidence: 99%
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