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Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue

Overview of attention for article published in PLoS Computational Biology, June 2012
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Title
Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue
Published in
PLoS Computational Biology, June 2012
DOI 10.1371/journal.pcbi.1002553
Pubmed ID
Authors

Florian Raudies, Michael E. Hasselmo

Abstract

Boundary vector cells in entorhinal cortex fire when a rat is in locations at a specific distance from walls of an environment. This firing may originate from memory of the barrier location combined with path integration, or the firing may depend upon the apparent visual input image stream. The modeling work presented here investigates the role of optic flow, the apparent change of patterns of light on the retina, as input for boundary vector cell firing. Analytical spherical flow is used by a template model to segment walls from the ground, to estimate self-motion and the distance and allocentric direction of walls, and to detect drop-offs. Distance estimates of walls in an empty circular or rectangular box have a mean error of less than or equal to two centimeters. Integrating these estimates into a visually driven boundary vector cell model leads to the firing patterns characteristic for boundary vector cells. This suggests that optic flow can influence the firing of boundary vector cells.

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Geographical breakdown

Country Count As %
United States 6 7%
Germany 2 2%
Hungary 1 1%
Netherlands 1 1%
Portugal 1 1%
United Kingdom 1 1%
France 1 1%
Unknown 77 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 34%
Researcher 22 24%
Student > Master 11 12%
Student > Bachelor 5 6%
Student > Doctoral Student 4 4%
Other 9 10%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 30%
Neuroscience 21 23%
Psychology 8 9%
Computer Science 8 9%
Medicine and Dentistry 4 4%
Other 12 13%
Unknown 10 11%