Supervised training approach using spiking neural networks

Silva, S. M.; Ruano, Antonio

http://hdl.handle.net/10400.1/2326

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Authors

Silva, S. M.

Ruano, Antonio

Abstract(s)

One of the basic aspects of some neural networks is their attempt to approximate as much as possible their biological counterparts. The goal is to achieve a simple and robust network, easy to understand and able of simulating the human brain at a computational level. Recently a third generation of neural networks (NN) [1], called Spiking Neural Networks(SNN) was appeared. This new kind of networks use the time of a electrical pulse, or spike, to encode the information. In the first and second generation of NN analog values are used in the communication between neurons.

URI

http://hdl.handle.net/10400.1/2326

Citation

Silva, S. M.; Ruano, A. E. Supervised training approach using spiking neural networks, Trabalho apresentado em Global Education Techology Symposium (GETS 2006), In Proceedings of the Global Education Techology Symposium (GETS 2006), Faro, 2006.