Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/72231
Title: Distributed, layered and reliable computing nets to represent neuronal receptive fields
Authors: Moreno-Diaz, Arminda
De Blasio, Gabriel 
Moreno-Diaz, Roberto, Jr. 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Layered and distributed computation
Reliable nets
Newton filters
Hermite functions
Weight profile analysis and synthesis
Issue Date: 2014
Journal: Mathematical Biosciences and Engineering 
Abstract: 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 responses suggests 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 performance in 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 study the effect of lesions on the whole performance of our model nets.
URI: http://hdl.handle.net/10553/72231
ISSN: 1547-1063
DOI: 10.3934/mbe.2014.11.343
Source: Mathematical Biosciences And Engineering [ISSN 1547-1063], v. 11 (2), p. 343-361, (Abril 2014)
Appears in Collections:Artículos
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