Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach

Pearson, M., Pipe, A. G., Mitchinson, B., Gurney, K., Melhuish, C., Gilhespy, I. and Nibouche, M. (2007) Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach. IEEE Transactions on Neural Networks, 18 (5). pp. 1472-1487. ISSN 1045-9227

Full text not available from this repository

Publisher's URL: http://dx.doi.org/10.1109/TNN.2007.891203


Item Type:Article
Additional Information:This article summarises the product of Martin Pearson's PhD, a novel real-time spiking neural network processor. Pipe is Director of Studies for that PhD. It was an important outcome of the EPSRC funded �Whiskerbot' project that completed in 2006
Uncontrolled Keywords:spiking neural networks, real-time signal-processing, model-validated FPGA approach
Faculty/Department:Faculty of Environment and Technology
ID Code:5898
Deposited By: R. Upload account
Deposited On:22 Jan 2010 15:10
Last Modified:12 Aug 2013 07:58

Request a change to this item

Copyright 2013 © UWE better together