RECEPTIVE FIELD ATLAS AND RELATED CNN MODELS

DOI10.1142/S0218127404009545zbMath1063.92012WikidataQ59830276 ScholiaQ59830276MaRDI QIDQ4655585

Péter L. Venetianer, Ákos Zarándy, V. Gál, L. Négyessy, László Orzó, Zs. Borostyánkői, József Hámori, Dávid Bálya, Csaba Rekeczky, Zoltán Vidnyánszky, István Petrás, József Takács, Mátyás Brendel, Károly Lotz, Tamás Roska

Publication date: 8 March 2005

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

zbMATH Keywords

cellular neural networksfeedforwardcellular nonlinear networksCNNReceptive fieldsfeedback network layerslocal interconnectionsreceptive field calculusvisual auditory and tactile system modeling

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (2)

Neural and Cognitive Modeling with Networks of Leaky Integrator Units ⋮ IMPLEMENTING THE MULTILAYER RETINAL MODEL ON THE COMPLEX-CELL CNN-UM CHIP PROTOTYPE

Cites Work

• Cellular neural networks: theory
• CNN: A Vision of Complexity
• The CNN paradigm
• The use of CNN models in the subcortical visual pathway
• The CNN universal machine: an analogic array computer
• A CNN framework for modeling parallel processing in a mammalian retina
• IMPLEMENTING THE MULTILAYER RETINAL MODEL ON THE COMPLEX-CELL CNN-UM CHIP PROTOTYPE
• PARALLEL VISUAL PROCESSING: A TUTORIAL OF RETINAL FUNCTION

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