A modular implementation to handle and benchmark drift correction for high-density extracellular recordings.


Journal

eNeuro
ISSN: 2373-2822
Titre abrégé: eNeuro
Pays: United States
ID NLM: 101647362

Informations de publication

Date de publication:
18 Jan 2024
Historique:
received: 29 06 2023
revised: 20 12 2023
accepted: 21 12 2023
medline: 19 1 2024
pubmed: 19 1 2024
entrez: 18 1 2024
Statut: aheadofprint

Résumé

High-density neural devices are now offering the possibility to record from neuronal populations

Identifiants

pubmed: 38238082
pii: ENEURO.0229-23.2023
doi: 10.1523/ENEURO.0229-23.2023
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Garcia et al.

Auteurs

Samuel Garcia (S)

Centre de Recherche en Neuroscience de Lyon, CNRS, Lyon, France.

Charlie Windolf (C)

Columbia University, New York City, NY, USA.

Julien Boussard (J)

Columbia University, New York City, NY, USA.

Benjamin Dichter (B)

CatalystNeuro, Benicia, CA, USA.

Alessio P Buccino (AP)

CatalystNeuro, Benicia, CA, USA.
Allen Institute for Neural Dynamics, Seattle, WA, USA.

Pierre Yger (P)

Institut de la Vision, Sorbonne Université, INSERM, Paris pierre.yger@inserm.fr.
Lille Neurosciences & Cognition (lilNCog) - U1172 (INSERM, Lille), Univ Lille, CHU Lille 59045 Lille, France.

Classifications MeSH