Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/52412
Título: Systems and computational tools for neuronal retinal models
Autores/as: Moreno-Díaz, Roberto 
De Blasio, Gabriel 
Clasificación UNESCO: 1203 Ciencia de los ordenadores
120304 Inteligencia artificial
Palabras clave: Ganglion-Cells
Receptive-Field
Fecha de publicación: 2003
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 9th International Workshop on Computer Aided Systems Theory 
Resumen: 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
Fuente: 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
Colección:Actas de congresos
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