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TNN
2008
85views more  TNN 2008»
13 years 10 months ago
Training Spiking Neuronal Networks With Applications in Engineering Tasks
In this paper, spiking neuronal models employing means, variances, and correlations for computation are introduced. We present two approaches in the design of spiking neuronal netw...
Phill Rowcliffe, Jianfeng Feng
ISCAS
2006
IEEE
84views Hardware» more  ISCAS 2006»
14 years 4 months ago
Programmable synaptic weights for an aVLSI network of spiking neurons
—We describe a spiking neuronal network which allows local synaptic weights to be assigned to individual synapses. In previous implementations of neuronal networks, the biases th...
Yingxue Wang, Shih-Chii Liu
IJCNN
2008
IEEE
14 years 5 months ago
Biologically realizable reward-modulated hebbian training for spiking neural networks
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
Silvia Ferrari, Bhavesh Mehta, Gianluca Di Muro, A...