Differences in non-linearities determine retinal cell types.

Trapani, F.; Spampinato, G. L. B.; Yger, Pierre; Marre, O.

Type de document :

Article dans une revue scientifique: Article original

DOI :

10.1152/jn.00243.2022

PMID :

37584082

URL permanente :

http://hdl.handle.net/20.500.12210/101757

Titre :

Differences in non-linearities determine retinal cell types.

Auteur(s) :

Trapani, F. [Auteur]
Spampinato, G. L. B. [Auteur]
Yger, Pierre [Auteur]

Lille Neurosciences & Cognition (LilNCog) - U 1172
Marre, O. [Auteur]

Titre de la revue :

Journal of Neurophysiology

Nom court de la revue :

J Neurophysiol

Numéro :

130

Pagination :

706-718

Éditeur :

American Physiological Society

Date de publication :

2023-08-19

ISSN :

1522-1598

Mot(s)-clé(s) :

functional classification
ganglion cells
nonlinearity
retina

Mot(s)-clé(s) en anglais :

retina
nonlinearity
ganglion cells
functional classification

Discipline(s) HAL :

Sciences du Vivant [q-bio]

Résumé en anglais : [en]

Classifying neurons in different types is still an open challenge. In the retina, recent works have taken advantage of the ability to record from a large number of cells to classify ganglion cells into different types ...
Lire la suite >Classifying neurons in different types is still an open challenge. In the retina, recent works have taken advantage of the ability to record from a large number of cells to classify ganglion cells into different types based on functional information. Although the first attempts in this direction used the receptive field properties of each cell to classify them, more recent approaches have proposed to cluster ganglion cells directly based on their response to stimuli. These two approaches have not been compared directly. Here, we recorded the responses of a large number of ganglion cells and compared two methods for classifying them into functional groups, one based on the receptive field properties, and the other one using directly their responses to stimuli with various temporal frequencies. We show that the response-based approach allows separation of more types than the receptive field-based method, leading to a better classification. This better granularity is due to the fact that the response-based method takes into account not only the linear part of ganglion cell function but also some of the nonlinearities. A careful characterization of nonlinear processing is thus key to allowing functional classification of sensory neurons.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
Inserm
CHU Lille

Collections :

Lille Neurosciences & Cognition (LilNCog) - U 1172

Date de dépôt :

2024-01-15T22:33:18Z
2024-09-18T09:55:06Z

Numéro de version	Lien	Date de modification
2	20.500.12210/101757*	2024-09-18T09:52:26Z
1	20.500.12210/101757.1	2024-01-15T22:33:18Z

Differences in non-linearities determine ...

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Differences in non-linearities determine ... BibTeX CSV Excel RIS

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Differences in non-linearities determine ...

BibTeX

CSV

Excel

RIS