IMPLEMENTING THE MULTILAYER RETINAL MODEL ON THE COMPLEX-CELL CNN-UM CHIP PROTOTYPE

DOI10.1142/S0218127404009302zbMath1063.92008OpenAlexW2098275223WikidataQ59343364 ScholiaQ59343364MaRDI QIDQ4655578

Ricardo Carmona, Dávid Bálya, István Petrás, Ángel Benito Rodríguez Vázquez, Tamás Roska

Publication date: 8 March 2005

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127404009302

zbMATH Keywords

cellular neural networkmodel decompositionrabbit retinasilicon retinaCACE1kmulti-channel inner retina

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Software, source code, etc. for problems pertaining to biology (92-04)

Related Items (2)

Neural and Cognitive Modeling with Networks of Leaky Integrator Units ⋮ RECEPTIVE FIELD ATLAS AND RELATED CNN MODELS

Cites Work

• The network behind spatio-temporal patterns: building low-complexity retinal models in CNN based on morphology, pharmacology and physiology
• Cellular neural networks: theory
• The CNN paradigm
• The CNN universal machine: an analogic array computer
• A CNN framework for modeling parallel processing in a mammalian retina
• RECEPTIVE FIELD ATLAS AND RELATED CNN MODELS
• PARALLEL VISUAL PROCESSING: A TUTORIAL OF RETINAL FUNCTION

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