Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52409
Title: A framework for modeling competitive and cooperative computation in retinal processing
Authors: Moreno-Díaz, Roberto 
De Blasio, Gabriel 
Moreno-Díaz, Arminda
UNESCO Clasification: 1203 Ciencia de los ordenadores
Keywords: Cooperative computation
Layered computation
Lateral interaction
Issue Date: 2008
Journal: AIP Conference Proceedings 
Conference: International Conference on Collective Dynamics - Topics on Competition and Cooperation in the Biosciences 
Abstract: The structure of the retina suggests that it should be treated (at least from the computational point of view), as a layered computer. Different retinal cells contribute to the coding of the signals down to ganglion cells. Also, because of the nature of the specialization of some ganglion cells, the structure suggests that all these specialization processes should take place at the inner plexiform layer and they should be of a local character, prior to a global integration and frequency-spike coding by the ganglion cells. The framework we propose consists of a layered computational structure, where outer layers provide essentially with band-pass space-time filtered signals which are progressively delayed, at least for their formal treatment. Specialization is supposed to take place at the inner plexiform layer by the action of spatio-temporal microkernels (acting very locally), and having a center-periphery space-time structure. The resulting signals are then integrated by the ganglion cells through macrokernels structures. Practically all types of specialization found in different vertebrate retinas, as well as the quasilinear behavior in some higher vertebrates, can be modeled and simulated within this framework. Finally, possible feedback from central structures is considered. Though their relevance to retinal processing is not definitive, it is included here for the sake of completeness, since it is a formal requisite for recursiveness.
URI: http://hdl.handle.net/10553/52409
ISBN: 978-0-7354-0552-3
ISSN: 0094-243X
DOI: 10.1063/1.2965103
Source: AIP Conference Proceedings [ISSN 0094-243X], v. 1028, p. 88-97
Appears in Collections:Actas de congresos
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