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» On the use of spiking neural network for EEG classification
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IJCNN
2007
IEEE
14 years 3 months ago
Predicting Spike Activity in Neuronal Cultures
be regarded as an abstraction of the underlying effective network connectivity, i.e. its functional connectivity. Although similar functional connectivity models have been describe...
Tayfun Gürel, Ulrich Egert, Steffen Kandler, ...
IJON
2007
109views more  IJON 2007»
13 years 8 months ago
Monophonic sound source separation with an unsupervised network of spiking neurones
We incorporate auditory-based features into an unconventional pattern classification system, consisting of a network of spiking neurones with dynamical and multiplicative synapse...
Ramin Pichevar, Jean Rouat
ICANN
2007
Springer
14 years 2 months ago
Biasing Neural Networks Towards Exploration or Exploitation Using Neuromodulation
Abstract. Taking neuromodulation as a mechanism underlying emotions, this paper investigates how such a mechanism can bias an artificial neural network towards exploration of new ...
Karla Parussel, Lola Cañamero
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
13 years 8 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
ICONIP
2010
13 years 6 months ago
Practical Surface EMG Pattern Classification by Using a Selective Desensitization Neural Network
Real-time pattern classification of electromyogram (EMG) signals is significant and useful for developing prosthetic limbs. However, the existing approaches are not practical enoug...
Hiroshi Kawata, Fumihide Tanaka, Atsuo Suemitsu, M...