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Mostrando ítems 1-6 de 6
Ponencia
Performance Study of Software AER-Based Convolutions on a Parallel Supercomputer
(Springer, 2011)
This paper is based on the simulation of a convolution model for bioinspired neuromorphic systems using the Address-Event-Representation (AER) philosophy and implemented in the supercomputer CRS of the University of Cadiz ...
Ponencia
AER Spiking Neuron Computation on GPUs: The Frame-to-AER Generation
(Springer, 2011)
Neuro-inspired processing tries to imitate the nervous system and may resolve complex problems, such as visual recognition. The spike-based philosophy based on the Address-Event-Representation (AER) is a neuromorphic ...
Ponencia
Estimación de distancias mediante un sistema de estéreo-visión basado en retinas DVS
(3ciencias. Editorial Área de Innovación y Desarrollo,S.L., 2018)
La estimación de distancias es uno de los objetivos más importantes en todo sistema de visión artificial. Para poder llevarse a cabo, es necesaria la presencia de más de un sensor de visión para poder enfocar los objetos ...
Ponencia
An AER to CAN Bridge for Spike-Based Robot Control
(Springer, 2011)
Address-Event-Representation (AER) is a bio-inspired communication protocol between chips. A set of AER sensors (retina and cochleas), processors (convolvers, WTA, mappers, …) and actuators can be found in the literature ...
Artículo
Inter-spikes-intervals exponential and gamma distributions study of neuron firing rate for SVITE motor control model on FPGA
(Elsevier, 2015)
This paper presents a statistical study on a neuro-inspired spike-based implementation of the Vector-Integration-To-End-Point motor controller (SVITE) and compares its deterministic neuron-model stream of spikes with a ...
Ponencia
Frames-to-AER efficiency study based on CPUs Performance Counters
(IEEE Computer Society, 2010)
Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from photographs that capture reality for a short period of time. They are renewed and ...