Literature DB >> 10905806

Latent attractors: a model for context-dependent place representations in the hippocampus.

S Doboli1, A A Minai, P J Best.   

Abstract

Cells throughout the rodent hippocampal system show place-specific patterns of firing called place fields, creating a coarse-coded representation of location. The dependencies of this place code--or cognitive map--on sensory cues have been investigated extensively, and several computational models have been developed to explain them. However, place representations also exhibit strong dependence on spatial and behavioral context, and identical sensory environments can produce very different place codes in different situations. Several recent studies have proposed models for the computational basis of this phenomenon, but it is still not completely understood. In this article, we present a very simple connectionist model for producing context-dependent place representations in the hippocampus. We propose that context dependence arises in the dentate gyrus-hilus (DGH) system, which functions as a dynamic selector, disposing a small group of granule and pyramidal cells to fire in response to afferent stimulus while depressing the rest. It is hypothesized that the DGH system dynamics has "latent attractors," which are unmasked by the afferent input and channel system activity into subpopulations of cells in the DG, CA3, and other hippocampal regions as observed experimentally. The proposed model shows that a minimally structured hippocampus-like system can robustly produce context-dependent place codes with realistic attributes.

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Year:  2000        PMID: 10905806     DOI: 10.1162/089976600300015484

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  9 in total

1.  The temporal context model in spatial navigation and relational learning: toward a common explanation of medial temporal lobe function across domains.

Authors:  Marc W Howard; Mrigankka S Fotedar; Aditya V Datey; Michael E Hasselmo
Journal:  Psychol Rev       Date:  2005-01       Impact factor: 8.934

2.  Hippocampal mechanisms for the context-dependent retrieval of episodes.

Authors:  Michael E Hasselmo; Howard Eichenbaum
Journal:  Neural Netw       Date:  2005-11-02

3.  An attempt to construct a (general) mathematical framework to model biological "context-dependence".

Authors:  Anirban Banerji
Journal:  Syst Synth Biol       Date:  2013-08-28

4.  Megamap: flexible representation of a large space embedded with nonspatial information by a hippocampal attractor network.

Authors:  Kathryn R Hedrick; Kechen Zhang
Journal:  J Neurophysiol       Date:  2016-05-18       Impact factor: 2.714

5.  A simple neural network model of the hippocampus suggesting its pathfinding role in episodic memory retrieval.

Authors:  Alexei V Samsonovich; Giorgio A Ascoli
Journal:  Learn Mem       Date:  2005-03-17       Impact factor: 2.460

Review 6.  Place cells, grid cells, attractors, and remapping.

Authors:  Kathryn J Jeffery
Journal:  Neural Plast       Date:  2011-11-03       Impact factor: 3.599

7.  Place cell rate remapping by CA3 recurrent collaterals.

Authors:  Trygve Solstad; Hosam N Yousif; Terrence J Sejnowski
Journal:  PLoS Comput Biol       Date:  2014-06-05       Impact factor: 4.475

8.  Modeling Contextual Modulation of Memory Associations in the Hippocampus.

Authors:  Praveen K Pilly; Michael D Howard; Rajan Bhattacharyya
Journal:  Front Hum Neurosci       Date:  2018-11-09       Impact factor: 3.169

9.  Coincidence detection of place and temporal context in a network model of spiking hippocampal neurons.

Authors:  Yael Katz; William L Kath; Nelson Spruston; Michael E Hasselmo
Journal:  PLoS Comput Biol       Date:  2007-12       Impact factor: 4.475

  9 in total

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