DocumentCode :
2534653
Title :
A qualitative model-framework for spatio-temporal effects in vertebrate retinas
Author :
Balya, D. ; Roska, B. ; Nemeth, E. ; Roska, T. ; Werblin, F.
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
fYear :
2000
fDate :
2000
Firstpage :
165
Lastpage :
170
Abstract :
Retinal models based on the cellular neural network (CNN) paradigm have been widely used. These neuromorphic models are based on retinal anatomy and physiology. In this paper a framework is proposed for qualitative spatio-temporal studies in vertebrate retinas, the underlying retinal anatomy is followed as closely as possible, the characteristics of the physiological models, however, are kept simple. The goal is to model the qualitative effects, since the developed models are simple, compared to a fully neuromorphic one, we have a good chance to implement them on CNN Universal Machine chips using multi-layer technology
Keywords :
cellular neural nets; eye; multilayer perceptrons; neural chips; physiological models; CNN Universal Machine chips; multi-layer technology; neuromorphic models; qualitative model-framework; qualitative spatio-temporal studies; spatio-temporal effects; underlying retinal anatomy; vertebrate retinas; Anatomy; Biological cells; Biological system modeling; Biology computing; Cellular neural networks; Computer networks; Laboratories; Neuromorphics; Prototypes; Retina;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
Type :
conf
DOI :
10.1109/CNNA.2000.876839
Filename :
876839
Link To Document :
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