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

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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
Faculty/Department:~Pre-2012 Faculty Structure > Faculty of Environment and Technology > Bristol Robotics Laboratory
~Pre-2010 Faculty Structure > Environment and Technology > Bristol Institute of Technology
ID Code:5898
Deposited By: R. Upload account
Deposited On:22 Jan 2010 15:10
Last Modified:22 Nov 2012 15:35

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