RECEPTIVE FIELD ATLAS AND RELATED CNN MODELS
| Autor: | László Orzó, Ákos Zarándy, Viktor Gál, Csaba Rekeczky, J. Hámori, P.L. Venetianer, Tamás Roska, Dávid Bálya, ZS Borostyánkői, J. Takács, Zoltán Vidnyánszky, László Négyessy, K. Lotz, Mátyás Brendel, István Petrás |
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| Rok vydání: | 2004 |
| Předmět: |
Structure (mathematical logic)
Artificial neural network business.industry Computer science Atlas (topology) Applied Mathematics Sensory system law.invention Receptive field law Modeling and Simulation Cellular neural network Universal Turing machine Artificial intelligence business Engineering (miscellaneous) AND gate |
| Zdroj: | International Journal of Bifurcation and Chaos. 14:551-584 |
| ISSN: | 1793-6551 0218-1274 |
| Popis: | In this paper we demonstrate the potential of the cellular nonlinear/neural network paradigm (CNN) that of the analogic cellular computer architecture (called CNN Universal Machine — CNN-UM) in modeling different parts and aspects of the nervous system. The structure of the living sensory systems and the CNN share a lot of features in common: local interconnections ("receptive field architecture"), nonlinear and delayed synapses for the processing tasks, the potentiality of feedback and using the advantages of both the analog and logic signal-processing mode. The results of more than ten years of cooperative work of many engineers and neurobiologists have been collected in an atlas: what we present here is a kind of selection from these studies emphasizing the flexibility of the CNN computing: visual, tactile and auditory modalities are concerned. |
| Databáze: | OpenAIRE |
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