Non-parametric Physiological Classification of Retinal Ganglion Cells in the Mouse Retina

Jouty, Jonathan, Hilgen, Gerrit, Sernagor, Evelyne and Hennig, Matthias H. (2018) Non-parametric Physiological Classification of Retinal Ganglion Cells in the Mouse Retina. Frontiers in Cellular Neuroscience, 12. p. 481. ISSN 1662-5102

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Official URL: https://doi.org/10.3389/fncel.2018.00481

Abstract

Retinal ganglion cells, the sole output neurons of the retina, exhibit surprising diversity. A recent study reported over 30 distinct types in the mouse retina, indicating that the processing of visual information is highly parallelised in the brain. The advent of high density multi-electrode arrays now enables recording from many hundreds to thousands of neurons from a single retina. Here we describe a method for the automatic classification of large-scale retinal recordings using a simple stimulus paradigm and a spike train distance measure as a clustering metric. We evaluate our approach using synthetic spike trains, and demonstrate that major known cell types are identified in high-density recording sessions from the mouse retina with around 1,000 retinal ganglion cells. A comparison across different retinas reveals substantial variability between preparations, suggesting pooling data across retinas should be approached with caution. As a parameter-free method, our approach is broadly applicable for cellular physiological classification in all sensory modalities.

Item Type: Article
Uncontrolled Keywords: retinal ganglion cells, multi-electrode array, light responses, classification, spike distance
Subjects: C400 Genetics
C700 Molecular Biology, Biophysics and Biochemistry
Department: Faculties > Health and Life Sciences > Applied Sciences
Depositing User: Elena Carlaw
Date Deposited: 12 May 2020 12:19
Last Modified: 12 May 2020 12:30
URI: http://nrl.northumbria.ac.uk/id/eprint/43085

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