Differential response of the retinal neural code with respect to the sparseness of natural images

Abstract : Natural images follow statistics inherited by the structure of our physical (visual) environment. In particular, a prominent facet of this structure is that images can be described by a relatively sparse number of features. To investigate the role of this sparseness in the efficiency of the neural code, we designed a new class of random textured stimuli with a controlled sparseness value inspired by measurements of natural images. Then, we tested the impact of this sparseness parameter on the firing pattern observed in a population of retinal ganglion cells recorded ex vivo in the retina of a rodent, the Octodon degus. These recordings showed in particular that the reliability of spike timings varies with respect to the sparseness with globally a similar trend than the distribution of sparseness statistics observed in natural images. These results suggest that the code represented in the spike pattern of ganglion cells may adapt to this aspect of the statistics of natural images.
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Pré-publication, Document de travail
2016
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https://hal.archives-ouvertes.fr/hal-01396545
Contributeur : Laurent Perrinet <>
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Dernière modification le : vendredi 10 février 2017 - 01:12:20
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Distributed under a Creative Commons Paternité - Partage selon les Conditions Initiales 4.0 International License

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  • HAL Id : hal-01396545, version 1
  • ARXIV : 1611.06834

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Cesar Ravello, Maria-Jose Escobar, Adrian Palacios, Laurent Perrinet. Differential response of the retinal neural code with respect to the sparseness of natural images. 2016. <hal-01396545>

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