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Título

A real-time event-driven nerumorphic system for goal-directed attentional selection

AutorGallupi, Francesco; Brohan, Kevin; Davidson, Simon; Serrano-Gotarredona, Teresa ; Perez-Carrasco, J. A.; Linares-Barranco, Bernabé ; Furber. Steve
Palabras claveSpiNNaker
Neuromorphic
Selection
Attention
AER
Fecha de publicación2012
EditorSpringer
CitaciónLecture Notes in Computer Science, 7664: 226-233 (2012)
ResumenComputation 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.
URIhttp://hdl.handle.net/10261/107893
DOI10.1007/978-3-642-34481-7_28
Identificadoresdoi: 10.1007/978-3-642-34481-7_28
Aparece en las colecciones: (IMSE-CNM) Artículos
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