Literature DB >> 28389238

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

Howard Eichenbaum1.   

Abstract

Research on how information is encoded by the brain is largely based on studies of feature detector properties of single neurons, but considerable new data shows that single neurons in many brain areas have mixed selectivity for multiple features and change their tuning properties across realistic information processing situations. Here I consider new approaches that explore cell assemblies as the units of information processing and how these approaches are revealing the structure and organization of neural representations in perception and cognition.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cell assemblies; Feature detectors; Hippocampus; Inferotemporal cortex; Prefrontal cortex

Mesh:

Year:  2017        PMID: 28389238      PMCID: PMC5628090          DOI: 10.1016/j.neulet.2017.04.006

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  57 in total

Review 1.  Neural syntax: cell assemblies, synapsembles, and readers.

Authors:  György Buzsáki
Journal:  Neuron       Date:  2010-11-04       Impact factor: 17.173

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Authors:  M A Nicolelis; E E Fanselow; A A Ghazanfar
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Review 3.  From the neuron doctrine to neural networks.

Authors:  Rafael Yuste
Journal:  Nat Rev Neurosci       Date:  2015-07-08       Impact factor: 34.870

4.  Insights into human behavior from lesions to the prefrontal cortex.

Authors:  Sara M Szczepanski; Robert T Knight
Journal:  Neuron       Date:  2014-08-28       Impact factor: 17.173

5.  Visual receptive fields of neurons in inferotemporal cortex of the monkey.

Authors:  C G Gross; D B Bender; C E Rocha-Miranda
Journal:  Science       Date:  1969-12-05       Impact factor: 47.728

6.  Neurons and networks organizing and sequencing memories.

Authors:  Sam A Deadwyler; Theodore W Berger; Ioan Opris; Dong Song; Robert E Hampson
Journal:  Brain Res       Date:  2014-12-29       Impact factor: 3.252

7.  Population dynamics of face-responsive neurons in the inferior temporal cortex.

Authors:  Narihisa Matsumoto; Masato Okada; Yasuko Sugase-Miyamoto; Shigeru Yamane; Kenji Kawano
Journal:  Cereb Cortex       Date:  2004-11-24       Impact factor: 5.357

8.  The representation of biological classes in the human brain.

Authors:  Andrew C Connolly; J Swaroop Guntupalli; Jason Gors; Michael Hanke; Yaroslav O Halchenko; Yu-Chien Wu; Hervé Abdi; James V Haxby
Journal:  J Neurosci       Date:  2012-02-22       Impact factor: 6.167

9.  The contributions of position, direction, and velocity to single unit activity in the hippocampus of freely-moving rats.

Authors:  B L McNaughton; C A Barnes; J O'Keefe
Journal:  Exp Brain Res       Date:  1983       Impact factor: 1.972

10.  Visual neurones responsive to faces in the monkey temporal cortex.

Authors:  D I Perrett; E T Rolls; W Caan
Journal:  Exp Brain Res       Date:  1982       Impact factor: 1.972

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  20 in total

1.  A Distributed Neural Code in the Dentate Gyrus and in CA1.

Authors:  Fabio Stefanini; Lyudmila Kushnir; Jessica C Jimenez; Joshua H Jennings; Nicholas I Woods; Garret D Stuber; Mazen A Kheirbek; René Hen; Stefano Fusi
Journal:  Neuron       Date:  2020-06-09       Impact factor: 17.173

Review 2.  Two views on the cognitive brain.

Authors:  David L Barack; John W Krakauer
Journal:  Nat Rev Neurosci       Date:  2021-04-15       Impact factor: 34.870

3.  Neural Mechanisms of Sustained Attention Are Rhythmic.

Authors:  Randolph F Helfrich; Ian C Fiebelkorn; Sara M Szczepanski; Jack J Lin; Josef Parvizi; Robert T Knight; Sabine Kastner
Journal:  Neuron       Date:  2018-08-22       Impact factor: 17.173

Review 4.  Neural entrainment and network resonance in support of top-down guided attention.

Authors:  Randolph F Helfrich; Assaf Breska; Robert T Knight
Journal:  Curr Opin Psychol       Date:  2019-01-02

5.  Flow stimuli reveal ecologically appropriate responses in mouse visual cortex.

Authors:  Luciano Dyballa; Mahmood S Hoseini; Maria C Dadarlat; Steven W Zucker; Michael P Stryker
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-16       Impact factor: 11.205

Review 6.  Flexible weighting of diverse inputs makes hippocampal function malleable.

Authors:  Mariam Aly; Nicholas B Turk-Browne
Journal:  Neurosci Lett       Date:  2017-06-03       Impact factor: 3.046

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

Authors:  Marcus K Benna; Stefano Fusi
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-21       Impact factor: 12.779

8.  Neuromodulator-dependent synaptic tagging and capture retroactively controls neural coding in spiking neural networks.

Authors:  Andrew B Lehr; Jannik Luboeinski; Christian Tetzlaff
Journal:  Sci Rep       Date:  2022-10-22       Impact factor: 4.996

Review 9.  Memory engrams: Recalling the past and imagining the future.

Authors:  Sheena A Josselyn; Susumu Tonegawa
Journal:  Science       Date:  2020-01-03       Impact factor: 47.728

Review 10.  What are grid-like responses doing in the orbitofrontal cortex?

Authors:  Clara U Raithel; Jay A Gottfried
Journal:  Behav Neurosci       Date:  2021-03-18       Impact factor: 1.912

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