Title :

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

Author(s) :

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

Journal title :

eNeuro

Abbreviated title :

eNeuro

Volume number :

11

Pages :

ENEURO.0229 - 23.2023

Publisher :

Society for Neuroscience

Publication date :

2024-01-20

ISSN :

2373-2822

English keyword(s) :

benchmark
drift
electrophysiology
ground-truth
neuropixel
spike sorting

HAL domain(s) :

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

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
Inserm
CHU Lille

Collections :

• Lille Neurosciences & Cognition (LilNCog) - U 1172

Submission date :

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