Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/52413
Título: Systems methods in visual modelling
Autores/as: Moreno-Díaz, Roberto 
De Blasio, Gabriel 
Clasificación UNESCO: 1203 Ciencia de los ordenadores
Palabras clave: Layered computation
Natural neural nets
Receptive fields
Retinal models
Visual processing, et al.
Fecha de publicación: 2003
Publicación seriada: Systems Analysis Modelling Simulation 
Resumen: Models of visual processing in living systems can be successfully developed for the front end sensorial part, which in vertebrates correspond to the retina. The appropriate modelling tools are the tools of classical systems theory. In this line, we present first analytical models for the frog's retina and for higher vertebrate retinae, leading to the generalized structure of receptive fields processing for modelling linear and non-linear behaviour. Next, transformations on input data receptive fields are presented, including the novel concept of micro-structures of retinal receptive fields in form of Newton Filters, the concepts of transformation on input and output spaces and the concepts of transformation on receptive fields by means of partitions.
URI: http://hdl.handle.net/10553/52413
ISSN: 0232-9298
DOI: 10.1080/02329290310001600255
Fuente: Systems Analysis Modelling Simulation [ISSN 0232-9298], v. 43 (9), p. 1159-1171
Colección:Artículos
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