Log in to save to my catalogue

End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging

End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3069179555

End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging

About this item

Full title

End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2024-03, Vol.20 (3), p.e1011074-e1011074

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Deep learning is a powerful tool for neural decoding, broadly applied to systems neuroscience and clinical studies. Interpretable and transparent models that can explain neural decoding for intended behaviors are crucial to identifying essential features of deep learning decoders in brain activity. In this study, we examine the performance of deep...

Alternative Titles

Full title

End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_3069179555

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3069179555

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1011074

How to access this item