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Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics

Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6858556

Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics

About this item

Full title

Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics

Publisher

New York: Nature Publishing Group US

Journal title

Nature methods, 2019-11, Vol.16 (11), p.1176-1184

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

We engineered light-gated channelrhodopsins (ChRs) whose current strength and light sensitivity enable minimally invasive neuronal circuit interrogation. Current ChR tools applied to the mammalian brain require intracranial surgery for transgene delivery and implantation of fiber-optic cables to produce light-dependent activation of a small volume...

Alternative Titles

Full title

Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6858556

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6858556

Other Identifiers

ISSN

1548-7091

E-ISSN

1548-7105

DOI

10.1038/s41592-019-0583-8

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