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Mathematical Biosciences and Engineering

2014, Volume 11, Issue 2: 343-361. doi: 10.3934/mbe.2014.11.343
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Distributed, layered and reliable computing nets to represent neuronal receptive fields

  • 1.
    Facultad de Informática, Universidad Politécnica de Madrid (UPM)
  • 2.
    Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Universidad de Las Palmas de Gran Canaria
  • Received: 01 September 2012 Accepted: 29 June 2018 Published: 01 October 2013

  • MSC : Primary: 93B15, 93B51; Secondary: 93A30.

  • Receptive fields of retinal and other sensory neurons show a large variety of spatiotemporal linear and non linear types of responses to local stimuli.In visual neurons, these responses present either asymmetric sensitive zones or center-surround organization. In most cases, the nature of the responsessuggests the existence of a kind of distributed computation prior to the integration by the final cell which is evidently supported by the anatomy.We describe a new kind of discrete and continuous filters to model the kind of computations taking place in the receptive fields of retinal cells. To show their performancein the analysis of different non-trivial neuron-like structures, we use a computer tool specifically programmed by the authors to that effect. This tool is also extended to studythe effect of lesions on the whole performance of our model nets.

    Citation: Arminda Moreno-Díaz, Gabriel de Blasio, Moreno-Díaz Jr.. Distributed, layered and reliable computing nets to represent neuronal receptive fields[J]. Mathematical Biosciences and Engineering, 2014, 11(2): 343-361. doi: 10.3934/mbe.2014.11.343

    Related Papers:

  • Receptive fields of retinal and other sensory neurons show a large variety of spatiotemporal linear and non linear types of responses to local stimuli.In visual neurons, these responses present either asymmetric sensitive zones or center-surround organization. In most cases, the nature of the responsessuggests the existence of a kind of distributed computation prior to the integration by the final cell which is evidently supported by the anatomy.We describe a new kind of discrete and continuous filters to model the kind of computations taking place in the receptive fields of retinal cells. To show their performancein the analysis of different non-trivial neuron-like structures, we use a computer tool specifically programmed by the authors to that effect. This tool is also extended to studythe effect of lesions on the whole performance of our model nets.


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  • © 2014 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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