Differences in non-linearities determine retinal cell types.

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

Document type :

Article dans une revue scientifique: Article original

DOI :

10.1152/jn.00243.2022

PMID :

37584082

Permalink :

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

Title :

Differences in non-linearities determine retinal cell types.

Author(s) :

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

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

Journal title :

Journal of Neurophysiology

Abbreviated title :

J Neurophysiol

Volume number :

130

Pages :

706-718

Publisher :

American Physiological Society

Publication date :

2023-08-19

ISSN :

1522-1598

Keyword(s) :

functional classification
ganglion cells
nonlinearity
retina

English keyword(s) :

retina
nonlinearity
ganglion cells
functional classification

HAL domain(s) :

Sciences du Vivant [q-bio]

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

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
Inserm
CHU Lille

Collections :

Lille Neurosciences & Cognition (LilNCog) - U 1172

Submission date :

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

Version	Link	Modification date
2	20.500.12210/101757*	2024-09-18T09:52:26Z
1	20.500.12210/101757.1	2024-01-15T22:33:18Z

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