Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52412
Title: Systems and computational tools for neuronal retinal models
Authors: Moreno-Díaz, Roberto 
De Blasio, Gabriel 
UNESCO Clasification: 1203 Ciencia de los ordenadores
120304 Inteligencia artificial
Keywords: Ganglion-Cells
Receptive-Field
Issue Date: 2003
Journal: Lecture Notes in Computer Science 
Conference: 9th International Workshop on Computer Aided Systems Theory 
Abstract: This paper presents some systems theoretical and computational tools which allow for qualitative and quantitative models to explain the rate of firing (outputs) of ganglion retinal cells to various stimuli, mostly in higher vertebrates. Section 1 presents the neurophysiological bases of the formal tools, in which the main point is that specialized computation by some ganglion cells is to be performed at the inner plexiform layer, via amacrines. Section 2, presents the minima prerequisites for a qualitative model of linear and non-linear behavior of ganglia for higher vertebrates. The points here are that signals reaching the inner plexiform layer are fast and retarded versions of the input image, and that non-linear local lateral interaction accounts for non-linearities. Section 3, is devoted to computational representations that will permit to go from qualitative to quantitative formal models. The computational tools are based on generalized Newton Filters.
URI: http://hdl.handle.net/10553/52412
ISBN: 978-3-540-20221-9
ISSN: 0302-9743
DOI: 10.1007/978-3-540-45210-2_45
Source: Moreno-Díaz R., Pichler F. (eds) Computer Aided Systems Theory - EUROCAST 2003. Lecture Notes in Computer Science, [ISSN 0302-9743], v. 2809, p. 494-505, (Diciembre 2004). Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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