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A neuronal least-action principle for real-time learning in cortical circuits

A neuronal least-action principle for real-time learning in cortical circuits

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_09fe1e72d0f74e93a2b97b874d3b541e

A neuronal least-action principle for real-time learning in cortical circuits

About this item

Full title

A neuronal least-action principle for real-time learning in cortical circuits

Publisher

England: eLife Sciences Publications Ltd

Journal title

eLife, 2024-12, Vol.12

Language

English

Formats

Publication information

Publisher

England: eLife Sciences Publications Ltd

More information

Scope and Contents

Contents

One of the most fundamental laws of physics is the principle of least action. Motivated by its predictive power, we introduce a neuronal least-action principle for cortical processing of sensory streams to produce appropriate behavioral outputs in real time. The principle postulates that the voltage dynamics of cortical pyramidal neurons prospectiv...

Alternative Titles

Full title

A neuronal least-action principle for real-time learning in cortical circuits

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_09fe1e72d0f74e93a2b97b874d3b541e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_09fe1e72d0f74e93a2b97b874d3b541e

Other Identifiers

ISSN

2050-084X

E-ISSN

2050-084X

DOI

10.7554/eLife.89674

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