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