Presentation
Inter-spike-intervals Analysis of Poisson Like Hardware Synthetic AER Generation
Author/s | Linares Barranco, Alejandro
![]() ![]() ![]() ![]() ![]() ![]() ![]() Oster, Matthias Cascado Caballero, Daniel ![]() ![]() ![]() ![]() ![]() ![]() Jiménez Moreno, Gabriel ![]() ![]() ![]() ![]() ![]() ![]() ![]() Civit Balcells, Antón ![]() ![]() ![]() ![]() ![]() ![]() ![]() Linares Barranco, Bernabé |
Department | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Date | 2005 |
Published in |
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ISBN/ISSN | 978-3-540-26208-4 0302-9743 |
Abstract | Address-Event-Representation (AER) is a communication protocol
for transferring images between chips, originally developed for bio-inspired
image processing systems. Such systems may consist of a complicated
hierarchical ... Address-Event-Representation (AER) is a communication protocol for transferring images between chips, originally developed for bio-inspired image processing systems. Such systems may consist of a complicated hierarchical structure with many chips that transmit images among them in real time, while performing some processing (for example, convolutions). In developing AER based systems it is very convenient to have available some kind of means of generating AER streams from on-computer stored images. In this paper we present a hardware method for generating AER streams in real time from a sequence of images stored in a computer’s memory. The Kolmogorov-Smirnov test has been applied to quantify that this method follows a Poisson distribution of the spikes. A USB-AER board and a PCI-AER board, developed by our RTCAR group, have been used. |
Funding agencies | European Commission (EC) Ministerio de Ciencia y Tecnología (MCYT). España |
Project ID. | IST-2001-34124
![]() TIC-2003-08164-C03-02 ![]() |
Citation | Linares Barranco, A., Oster, M., Cascado Caballero, D., Jiménez Moreno, G., Civit Balcells, A. y Linares Barranco, B. (2005). Inter-spike-intervals Analysis of Poisson Like Hardware Synthetic AER Generation. En IWANN 2025: 8th International Work-Conference on Artificial Neural Networks (479-485), Vilanova i la Geltrú, Barcelona: Springer. |
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