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» Polychronization: Computation with Spikes
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NIPS
2001
13 years 9 months ago
Learning Spike-Based Correlations and Conditional Probabilities in Silicon
We have designed and fabricated a VLSI synapse that can learn a conditional probability or correlation between spike-based inputs and feedback signals. The synapse is low power, c...
Aaron P. Shon, David Hsu, Chris Diorio
TCS
2008
13 years 7 months ago
Modeling spiking neural networks
A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematica...
Ioannis D. Zaharakis, Achilles D. Kameas
IJCNN
2008
IEEE
14 years 2 months ago
Image clustering with spiking neuron network
— The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images. Artifi...
B. Meftah, A. Benyettou, Olivier Lezoray, W. QingX...
IJON
2008
152views more  IJON 2008»
13 years 6 months ago
Topos: Spiking neural networks for temporal pattern recognition in complex real sounds
This article depicts the approach used to build the Topos application, a simulation of two-wheel robots able to discern real complex sounds. Topos is framed in the nouvelle concep...
Pablo González-Nalda, Blanca Cases
NEUROSCIENCE
2001
Springer
14 years 2 days ago
Locust Olfaction
During odour recognition, excitatory and inhibitory groups of neurons in the second stage of the locust olfactory system, the antennal lobe (AL), fire alternately. There is little...
David C. Sterratt