Learning in large-scale spiking neural networks
Learning is central to the exploration of intelligence. Psychology and machine learning provide high-level explanations of how rational agents learn. Neuroscience provides low-level descriptions of how the brain changes as a result of learning. This thesis attempts to bridge the gap between these tw...
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| Language: | en |
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2011
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| Online Access: | http://hdl.handle.net/10012/6195 |