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A dynamical model for generating synthetic data to quantify active tactile sensing behavior in the r...

A dynamical model for generating synthetic data to quantify active tactile sensing behavior in the r...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8271597

A dynamical model for generating synthetic data to quantify active tactile sensing behavior in the rat

About this item

Full title

A dynamical model for generating synthetic data to quantify active tactile sensing behavior in the rat

Publisher

United States: National Academy of Sciences

Journal title

Proceedings of the National Academy of Sciences - PNAS, 2021-07, Vol.118 (27), p.1-10

Language

English

Formats

Publication information

Publisher

United States: National Academy of Sciences

More information

Scope and Contents

Contents

As it becomes possible to simulate increasingly complex neural networks, it becomes correspondingly important to model the sensory information that animals actively acquire: the biomechanics of sensory acquisition directly determines the sensory input and therefore neural processing. Here, we exploit the tractable mechanics of the well-studied rode...

Alternative Titles

Full title

A dynamical model for generating synthetic data to quantify active tactile sensing behavior in the rat

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8271597

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8271597

Other Identifiers

ISSN

0027-8424

E-ISSN

1091-6490

DOI

10.1073/pnas.2011905118

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