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» On the use of spiking neural network for EEG classification
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ICANN
2001
Springer
14 years 1 months ago
Using Depressing Synapses for Phase Locked Auditory Onset Detection
Auditory onsets are robust features of sounds: because the direct path from sound source to ear is the shortest path, the onset is unaffected by reverberation. Many cells in the c...
Leslie S. Smith
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
13 years 9 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
ICANN
2010
Springer
13 years 9 months ago
Cell Microscopic Segmentation with Spiking Neuron Networks
Abstract. Spiking Neuron Networks (SNNs) overcome the computational power of neural networks made of thresholds or sigmoidal units. Indeed, SNNs add a new dimension, the temporal a...
Boudjelal Meftah, Olivier Lezoray, Michel Lecluse,...
FGCN
2008
IEEE
153views Communications» more  FGCN 2008»
14 years 3 months ago
Experimental Study on Neuronal Spike Sorting Methods
When recording extracellular neural activity, it is often necessary to distinguish action potentials arising from distinct cells near the electrode tip, a process commonly referre...
Jianhua Dai, Xiaochun Liu, Yu Yi, Huaijian Zhang, ...