A reconfigurable neuroprocessor platform for biophysically accurate neural networks
In computational neuroscience, the modelling of neurons at biophysically accurate level provides an important tool to understand how the brain works. In contrast with reduced neuron models, which try to save computational resources and simplify neuron behaviour. Biophysical accurate systems based on...
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University of Bristol
2015
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687067 |