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Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Auti...

Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Auti...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_21c047eced074d3093e2221271204328

Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder

About this item

Full title

Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder

Publisher

Switzerland: Frontiers Research Foundation

Journal title

Frontiers in computational neuroscience, 2019-06, Vol.13, p.38-38

Language

English

Formats

Publication information

Publisher

Switzerland: Frontiers Research Foundation

More information

Scope and Contents

Contents

It is often assumed that Hebbian synaptic plasticity forms a cell assembly, a mutually interacting group of neurons that encodes memory. However, in recurrently connected networks with pure Hebbian plasticity, cell assemblies typically diverge or fade under ongoing changes of synaptic strength. Previously assumed mechanisms that stabilize cell asse...

Alternative Titles

Full title

Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_21c047eced074d3093e2221271204328

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_21c047eced074d3093e2221271204328

Other Identifiers

ISSN

1662-5188

E-ISSN

1662-5188

DOI

10.3389/fncom.2019.00038

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