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 networks, both of which are applied to engineering tasks. In exploring the input

• Type: Journal
• Year: 2008
• Where: TNN
• Authors: Phill Rowcliffe, Jianfeng Feng
• Keywords: Neuronal Models, Neuronal Networks, Robust Learning Rules, TNN 2008