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AER Spiking Neuron Computation on GPUs: The Frame-to-AER Generation

Opened Access AER Spiking Neuron Computation on GPUs: The Frame-to-AER Generation

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Autor: López Torres, M. R.
Díaz del Río, Fernando
Domínguez Morales, Manuel Jesús
Jiménez Moreno, Gabriel
Linares Barranco, Alejandro
Departamento: Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores
Fecha: 2011
Publicado en: ICONIP 2011: 18th International Conference on Neural Information Processing (2011), p 199-208
ISBN/ISSN: 978-3-642-24955-6
Tipo de documento: Ponencia
Resumen: 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 interchip communication protocol that allows for massive connectivity between neurons. Some of the AER-based systems can achieve very high performances in real-time applications. This philosophy is very different from standard image processing, which considers the visual information as a succession of frames. These frames need to be processed in order to extract a result. This usually requires very expensive operations and high computing resource consumption. Due to its relative youth, nowadays AER systems are short of cost-effective tools like emulators, simulators, testers, debuggers, etc. In this paper the first results of a CUDA-based tool focused on the functional processing of AER spikes is presented, with the aim of helping in the design and testing of ...
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Cita: López Torres, M.R., Díaz del Río, F., Domínguez Morales, M.J., Jiménez Moreno, G. y Linares Barranco, A. (2011). AER Spiking Neuron Computation on GPUs: The Frame-to-AER Generation. En ICONIP 2011: 18th International Conference on Neural Information Processing (199-208), Shanghai, China: Springer.
Tamaño: 203.0Kb
Formato: PDF

URI: https://hdl.handle.net/11441/70240

DOI: 10.1007/978-3-642-24955-6_24

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