An optimized framework to model vertebrate retinas

  • Authors:

  • Andrés Olmedo-Payá;Antonio Martínez-Álvarez;Sergio Cuenca-Asensi;Jose M. Ferrández;Eduardo Fernández

  • Affiliations:

  • Institute of Bioengineering and CIBER BBN, University Miguel Hernandez, Alicante, Spain;Computer Technology Department, University of Alicante, Alicante, Spain;Computer Technology Department, University of Alicante, Alicante, Spain;Department of Electronics and Computer Tecnology, Universidad Politécnica de Cartagena, Spain;Institute of Bioengineering and CIBER BBN, University Miguel Hernandez, Alicante, Spain

  • Venue:
  • IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
  • Year:
  • 2011

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Abstract

The retina is a very complex neural structure, which contains many different types of neurons interconnected with great precision, enabling sophisticated conditioning and coding of the visual information before it is passed via the optic nerve to higher visual centers. Therefore the retina performs spatial, temporal, and chromatic processing on visual information and converts it into a compact 'digital' format composed of neural impulses. However, how groups of retinal ganglion cells encode a broad range of visual information is still a challenging and unresolved question. The main objective of this work is to design and develop a new functional tool able to describe, simulate and validate custom retina models. The whole system is optimized for visual neuroprosthesis and can be accelerated by using FPGAs, COTS microprocessors or GP-GPU based systems.