Deforming the hippocampal map

Hippocampus
David S TouretzkyR U Muller

Abstract

To investigate conjoint stimulus control over place cells, Fenton et al. (J Gen Physiol 116:191-209, 2000a) recorded while rats foraged in a cylinder with 45 degrees black and white cue cards on the wall. Card centers were 135 degrees apart. In probe trials, the cards were rotated together or apart by 25 degrees . Firing field centers shifted during these trials, stretching and shrinking the cognitive map. Fenton et al. (2000b) described this deformation with an ad hoc vector field equation. We consider what sorts of neural network mechanisms might be capable of accounting for their observations. In an abstract, maximum likelihood formulation, the rat's location is estimated by a conjoint probability density function of landmark positions. In an attractor neural network model, recurrent connections produce a bump of activity over a two-dimensional array of cells; the bump's position is influenced by landmark features such as distances or bearings. If features are chosen with appropriate care, the attractor network and maximum likelihood models yield similar results, in accord with previous demonstrations that recurrent neural networks can efficiently implement maximum likelihood computations (Pouget et al. Neural Comput 10:373-...Continue Reading

References

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Citations

Dec 25, 2013·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Bruno PoucetRobert U Muller
May 18, 2006·Reviews in the Neurosciences·Caswell BarryNeil Burgess
Aug 21, 2014·ELife·Yuri DabaghianLoren M Frank
Apr 3, 2012·Annual Review of Neuroscience·James J Knierim, Kechen Zhang
Mar 26, 2016·Frontiers in Computational Neuroscience·Andrey BabichevYuri A Dabaghian
Jun 29, 2007·Hippocampus·Caswell Barry, Neil Burgess
Jun 18, 2016·Hippocampus·Kentaro HoffmanYuri Dabaghian
Sep 17, 2016·PLoS Computational Biology·Edward BassoYuri Dabaghian
Sep 21, 2007·Journal of Neurophysiology·Daniel L Jones, Scott C Baraban
May 10, 2018·Frontiers in Computational Neuroscience·Andrey Babichev, Yuri A Dabaghian
Jun 24, 2017·Scientific Reports·Andrey Babichev, Yuri Dabaghian
Aug 15, 2019·Network Neuroscience·Andrey BabichevYuri Dabaghian
Jan 27, 2019·Scientific Reports·Yuri Dabaghian
Jan 29, 2021·Frontiers in Computational Neuroscience·Yuri Dabaghian

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