Literature DB >> 16269237

Interpreting hippocampal function as recoding and forecasting.

William B Levy1, Ashlie B Hocking, Xiangbao Wu.   

Abstract

A model of hippocampal function, centered on region CA3, reproduces many of the cognitive and behavioral functions ascribed to the hippocampus. Where there is precise stimulus control and detailed quantitative data, this model reproduces the quantitative behavioral results. Underlying the model is a recoding conjecture of hippocampal computational function. The expanded conjecture includes a special role for randomization and, as recoding progresses with experience, the occurrence of sequence learning and sequence compression. These functions support the putative higher-order hippocampal function, i.e. production of representations readable by a linear decoder and suitable for both neocortical storage and forecasting. Simulations confirm the critical importance of randomly driven recoding and the neurocognitive relevance of sequence learning and compression. Two forms of sequence compression exist, on-line and off-line compression: both are conjectured to support neocortical encoding of context and declarative memory as described by .

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Year:  2005        PMID: 16269237     DOI: 10.1016/j.neunet.2005.08.005

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  10 in total

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Journal:  Cogn Neurodyn       Date:  2012-02-22       Impact factor: 5.082

Review 2.  An open hypothesis: is epilepsy learned, and can it be unlearned?

Authors:  David Hsu; Wei Chen; Murielle Hsu; John M Beggs
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3.  Theta-Modulated Input Reduces Intrinsic Gamma Oscillations in a Hippocampal Model.

Authors:  Ashlie B Hocking; William B Levy
Journal:  Neurocomputing       Date:  2007-06       Impact factor: 5.719

4.  Pattern separation in the dentate gyrus: a role for the CA3 backprojection.

Authors:  Catherine E Myers; Helen E Scharfman
Journal:  Hippocampus       Date:  2010-08-03       Impact factor: 3.899

5.  The hippocampus as a predictive map.

Authors:  Kimberly L Stachenfeld; Matthew M Botvinick; Samuel J Gershman
Journal:  Nat Neurosci       Date:  2017-10-02       Impact factor: 24.884

6.  Cell assembly sequences arising from spike threshold adaptation keep track of time in the hippocampus.

Authors:  Vladimir Itskov; Carina Curto; Eva Pastalkova; György Buzsáki
Journal:  J Neurosci       Date:  2011-02-23       Impact factor: 6.167

7.  Predicting the Past, Remembering the Future.

Authors:  Samuel J Gershman
Journal:  Curr Opin Behav Sci       Date:  2017-06-09

8.  The computational nature of memory modification.

Authors:  Samuel J Gershman; Marie-H Monfils; Kenneth A Norman; Yael Niv
Journal:  Elife       Date:  2017-03-15       Impact factor: 8.140

9.  Internally generated cell assembly sequences in the rat hippocampus.

Authors:  Eva Pastalkova; Vladimir Itskov; Asohan Amarasingham; György Buzsáki
Journal:  Science       Date:  2008-09-05       Impact factor: 47.728

10.  A model of late long-term potentiation simulates aspects of memory maintenance.

Authors:  Paul Smolen
Journal:  PLoS One       Date:  2007-05-16       Impact factor: 3.240

  10 in total

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