Literature DB >> 34916282

Place cells may simply be memory cells: Memory compression leads to spatial tuning and history dependence.

Marcus K Benna1,2,3, Stefano Fusi1,2,4.   

Abstract

The observation of place cells has suggested that the hippocampus plays a special role in encoding spatial information. However, place cell responses are modulated by several nonspatial variables and reported to be rather unstable. Here, we propose a memory model of the hippocampus that provides an interpretation of place cells consistent with these observations. We hypothesize that the hippocampus is a memory device that takes advantage of the correlations between sensory experiences to generate compressed representations of the episodes that are stored in memory. A simple neural network model that can efficiently compress information naturally produces place cells that are similar to those observed in experiments. It predicts that the activity of these cells is variable and that the fluctuations of the place fields encode information about the recent history of sensory experiences. Place cells may simply be a consequence of a memory compression process implemented in the hippocampus.

Entities:  

Keywords:  compression; hippocampus; memory; place cells; sparse autoencoders

Mesh:

Year:  2021        PMID: 34916282      PMCID: PMC8713479          DOI: 10.1073/pnas.2018422118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


  66 in total

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Authors:  J L McClelland; N H Goddard
Journal:  Hippocampus       Date:  1996       Impact factor: 3.899

2.  Computational principles of synaptic memory consolidation.

Authors:  Marcus K Benna; Stefano Fusi
Journal:  Nat Neurosci       Date:  2016-10-03       Impact factor: 24.884

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Authors:  R U Muller; J L Kubie
Journal:  J Neurosci       Date:  1987-07       Impact factor: 6.167

4.  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

Review 5.  Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.

Authors:  James L McClelland; Bruce L McNaughton; Randall C O'Reilly
Journal:  Psychol Rev       Date:  1995-07       Impact factor: 8.934

Review 6.  Barlow versus Hebb: When is it time to abandon the notion of feature detectors and adopt the cell assembly as the unit of cognition?

Authors:  Howard Eichenbaum
Journal:  Neurosci Lett       Date:  2017-04-04       Impact factor: 3.046

Review 7.  Pattern separation in the hippocampus.

Authors:  Michael A Yassa; Craig E L Stark
Journal:  Trends Neurosci       Date:  2011-07-23       Impact factor: 13.837

Review 8.  Cell types for our sense of location: where we are and where we are going.

Authors:  Kiah Hardcastle; Surya Ganguli; Lisa M Giocomo
Journal:  Nat Neurosci       Date:  2017-10-26       Impact factor: 24.884

9.  Hippocampal representation of related and opposing memories develop within distinct, hierarchically organized neural schemas.

Authors:  Sam McKenzie; Andrea J Frank; Nathaniel R Kinsky; Blake Porter; Pamela D Rivière; Howard Eichenbaum
Journal:  Neuron       Date:  2014-06-05       Impact factor: 17.173

10.  Trajectory-modulated hippocampal neurons persist throughout memory-guided navigation.

Authors:  Nathaniel R Kinsky; William Mau; David W Sullivan; Samuel J Levy; Evan A Ruesch; Michael E Hasselmo
Journal:  Nat Commun       Date:  2020-05-15       Impact factor: 14.919

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  2 in total

1.  Data-driven emergence of convolutional structure in neural networks.

Authors:  Alessandro Ingrosso; Sebastian Goldt
Journal:  Proc Natl Acad Sci U S A       Date:  2022-09-26       Impact factor: 12.779

2.  Signatures of rapid plasticity in hippocampal CA1 representations during novel experiences.

Authors:  James B Priestley; John C Bowler; Sebi V Rolotti; Stefano Fusi; Attila Losonczy
Journal:  Neuron       Date:  2022-04-20       Impact factor: 18.688

  2 in total

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