Titre :

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

Auteur(s) :

Garcia, Samuel [Auteur]
Windolf, Charlie [Auteur]
Boussard, Julien [Auteur]
Dichter, Benjamin [Auteur]
Buccino, Alessio P. [Auteur]
Yger, Pierre [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Institut de la Vision

Titre de la revue :

eNeuro

Nom court de la revue :

eNeuro

Numéro :

11

Pagination :

ENEURO.0229 - 23.2023

Éditeur :

Society for Neuroscience

Date de publication :

2024-01-20

ISSN :

2373-2822

Mot(s)-clé(s) en anglais :

benchmark
drift
electrophysiology
ground-truth
neuropixel
spike sorting

Discipline(s) HAL :

Sciences du Vivant [q-bio]
Sciences cognitives/Neurosciences

Résumé en anglais : [en]

High-density neural devices are now offering the possibility to record from neuronal populations in vivo at unprecedented scale. However, the mechanical drifts often observed in these recordings are currently a major issue ...
Lire la suite >High-density neural devices are now offering the possibility to record from neuronal populations in vivo at unprecedented scale. However, the mechanical drifts often observed in these recordings are currently a major issue for “spike sorting,” an essential analysis step to identify the activity of single neurons from extracellular signals. Although several strategies have been proposed to compensate for such drifts, the lack of proper benchmarks makes it hard to assess the quality and effectiveness of motion correction. In this paper, we present a benchmark study to precisely and quantitatively evaluate the performance of several state-of-the-art motion correction algorithms introduced in the literature. Using simulated recordings with induced drifts, we dissect the origins of the errors performed while applying a motion correction algorithm as a preprocessing step in the spike sorting pipeline. We show how important it is to properly estimate the positions of the neurons from extracellular traces in order to correctly estimate the probe motion, compare several interpolation procedures, and highlight what are the current limits for motion correction approaches.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
Inserm
CHU Lille

Collections :

• Lille Neurosciences & Cognition (LilNCog) - U 1172

Date de dépôt :

2024-03-23T22:03:25Z
2025-02-28T10:56:56Z