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IJCNN
2006
IEEE
14 years 1 months ago
Markov Coding Strategy of the Simple Spiking Model of Auditory Neuron
— The present paper is devoted to the exploration of the properties of the simple spiking neuron model and quantification of the information transfer rate, which the separate neu...
Alexei V. Ivanov, Alexander A. Petrovsky
IJCNN
2008
IEEE
14 years 1 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...
EVOW
2005
Springer
14 years 29 days ago
Granular Sampling Using a Pulse-Coupled Network of Spiking Neurons
Abstract. We present a new technique for granular sampling using a pulsecoupled network of spiking artificial neurons to generate grain events. The system plays randomly selected s...
Eduardo Reck Miranda, John Matthias
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
NECO
2007
258views more  NECO 2007»
13 years 7 months ago
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
Razvan V. Florian