Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
22 Sep 2023
Historique:
pubmed: 4 10 2023
medline: 4 10 2023
entrez: 4 10 2023
Statut: epublish

Résumé

Neural decoding and its applications to brain computer interfaces (BCI) are essential for understanding the association between neural activity and behavior. A prerequisite for many decoding approaches is

Identifiants

pubmed: 37790422
doi: 10.1101/2023.09.21.558869
pmc: PMC10542538
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NIMH NIH HHS
ID : K99 MH128772
Pays : United States
Organisme : NINDS NIH HHS
ID : U19 NS104649
Pays : United States
Organisme : NINDS NIH HHS
ID : U19 NS123716
Pays : United States

Auteurs

Yizi Zhang (Y)

Columbia University.

Tianxiao He (T)

Columbia University.
New York University.

Julien Boussard (J)

Columbia University.

Charlie Windolf (C)

Columbia University.

Olivier Winter (O)

The International Brain Laboratory.

Eric Trautmann (E)

Columbia University.

Noam Roth (N)

University of Washington.

Hailey Barrell (H)

University of Washington.

Mark Churchland (M)

Columbia University.

Nicholas A Steinmetz (NA)

University of Washington.

Erdem Varol (E)

New York University.

Cole Hurwitz (C)

Columbia University.

Liam Paninski (L)

Columbia University.

Classifications MeSH