Artículo
A Real-Time, Event Driven Neuromorphic System for Goal-Directed Attentional Selection
Autor/es | Gallupi, Francesco
Brohan, Kevin Davidson, Simón Serrano Gotarredona, María Teresa Pérez Carrasco, José Antonio Linares Barranco, Bernabé Furber, Steve B. |
Departamento | Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones |
Fecha de publicación | 2012 |
Fecha de depósito | 2018-10-29 |
Publicado en |
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Resumen | Computation with spiking neurons takes advantage of the
abstraction of action potentials into streams of stereotypical events, which
encode information through their timing. This approach both reduces
power consumption ... Computation with spiking neurons takes advantage of the abstraction of action potentials into streams of stereotypical events, which encode information through their timing. This approach both reduces power consumption and alleviates communication bottlenecks. A number of such spiking custom mixed-signal address event representation (AER) chips have been developed in recent years. In this paper, we present i) a flexible event-driven platform consisting of the integration of a visual AER sensor and the SpiNNaker system, a programmable massively parallel digital architecture oriented to the simulation of spiking neural networks; ii) the implementation of a neural network for feature-based attentional selection on this platform |
Cita | Gallupi, F., Brohan, K., Davidson, S., Serrano Gotarredona, T., Pérez Carrasco, J.A., Linares Barranco, B. y Furber, S. B. (2012). A Real-Time, Event Driven Neuromorphic System for Goal-Directed Attentional Selection. Lectures notes in computer science, 7664 (2), 226-233. |
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