White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Hippocampal formation as unitary coherent particle filter

Fox, C. and Prescott, T. (2009) Hippocampal formation as unitary coherent particle filter. In: Eighteenth Annual Computational Neuroscience Meeting: CNS 2009, 18–23 July 2009, Berlin, Germany.

Full text not available from this repository.


A standard approach to localization, recall and prediction from sensors is the Hidden Markov Model (HMM, [1]), with location as hidden state and sense data as observations. Assuming that hippocampus performs a similar task, we present a new top-down mapping of this function onto its anatomy. In localization models of CA3 [2], firing rates of individual place cells encode probabilities over current location and recurrent connections may represent transitions probabilities between them. In auto-associative models [3], recurrent connections bring the network into a vector-coded memorized state. The existence of cells encoding rewards and locations of external objects supports this view [3].

Item Type: Conference or Workshop Item (Poster)
Copyright, Publisher and Additional Information: © 2009 Fox and Prescott; licensee BioMed Central Ltd.
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield)
Depositing User: Sheffield Import
Date Deposited: 05 Oct 2009 10:30
Last Modified: 08 Oct 2009 09:43
Published Version: http://www.biomedcentral.com/1471-2202/10/S1/P275
Status: Published
URI: http://eprints.whiterose.ac.uk/id/eprint/9649

Actions (repository staff only: login required)