Achieving baseline states in sparsely connected spiking-neural networks: stochastic and dynamic approaches in mathematical neuroscience
Networks of simple spiking neurons provide abstract models for studying the dynamics of biological neural tissue. At the expense of cellular-level complexity, they are a frame-work in which we can gain a clearer understanding of network-level dynamics. Substantial insight can be gained analytically...
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| Format: | Dissertation |
| Language: | Eng |
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University of Cape Town
2016
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| Online Access: | http://hdl.handle.net/11427/19949 |