Presentation
Visual Spike-based Convolution Processing with a Cellular Automata Architecture
Author/s | Rivas Pérez, Manuel
Linares Barranco, Alejandro Cerdá, J. Ferrando, N. Jiménez Moreno, Gabriel Civit Balcells, Antón |
Department | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Publication Date | 2010 |
Deposit Date | 2019-12-26 |
Published in |
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ISBN/ISSN | 978-1-4244-6916-1 2161-4393 |
Abstract | this paper presents a first approach for
implementations which fuse the Address-Event-Representation
(AER) processing with the Cellular Automata using FPGA and
AER-tools. This new strategy applies spike-based ... this paper presents a first approach for implementations which fuse the Address-Event-Representation (AER) processing with the Cellular Automata using FPGA and AER-tools. This new strategy applies spike-based convolution filters inspired by Cellular Automata for AER vision processing. Spike-based systems are neuro-inspired circuits implementations traditionally used for sensory systems or sensor signal processing. AER is a neuromorphic communication protocol for transferring asynchronous events between VLSI spike-based chips. These neuro-inspired implementations allow developing complex, multilayer, multichip neuromorphic systems and have been used to design sensor chips, such as retinas and cochlea, processing chips, e.g. filters, and learning chips. Furthermore, Cellular Automata is a bio-inspired processing model for problem solving. This approach divides the processing synchronous cells which change their states at the same time in order to get the solution. |
Project ID. | TEC2006-11730-C03-02
TEC2009-10639-C04-02 P06-TIC-01417 |
Citation | Rivas Pérez, M., Linares Barranco, A., Cerdá, J., Ferrando, N., Jiménez Moreno, G. y Civit Balcells, A. (2010). Visual Spike-based Convolution Processing with a Cellular Automata Architecture. En IJCNN 2010 : International Joint Conference on Neural Networks Barcelona, España: IEEE Computer Society. |
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