429 search results - page 13 / 86 » On the use of spiking neural network for EEG classification |
FPL
2008
Springer
13 years 10 months ago
2008
Springer
FPGA devices have witnessed popularity in their use for the rapid prototyping of biological Spiking Neural Network (SNNs) applications, as they offer the key requirement of reconf...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
—This article introduces a new feature vector extraction for EEG signals using multifractal analysis. The validity of the approach is asserted on real data sets from the BCI comp...
ESANN
2000
13 years 10 months ago
2000
Abstract. For a network of spiking neurons with reasonable postsynaptic potentials, we derive a supervised learning rule akin to traditional error-back-propagation, SpikeProp and s...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— We propose a modeling framework based on the event-driven paradigm for populations of neurons which interchange messages. Unlike other strategies our approach is focused on the...
FCCM
2009
IEEE
14 years 18 days ago
2009
IEEE
Artificial neural networks are a key tool for researchers attempting to understand and replicate the behaviour and intelligence found in biological neural networks. Software simul...