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» Polychronization: Computation with Spikes
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ICANN
2010
Springer
13 years 8 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,...
IPPS
2010
IEEE
13 years 5 months ago
Acceleration of spiking neural networks in emerging multi-core and GPU architectures
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...
MEMBRANE
2009
Springer
14 years 2 months ago
Solving NP-Complete Problems by Spiking Neural P Systems with Budding Rules
Tseren-Onolt Ishdorj, Alberto Leporati, Linqiang P...
NCA
2010
IEEE
13 years 2 months ago
A comparison of binless spike train measures
António R. C. Paiva, Il Park, José C...
CDC
2008
IEEE
147views Control Systems» more  CDC 2008»
14 years 2 months ago
Clustering neural spike trains with transient responses
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
John D. Hunter, Jianhong Wu, John G. Milton