A Spiking Bidirectional Associative Memory Neural Network
Spiking neural networks (SNNs) are a more biologically realistic model of the brain than traditional analog neural networks and therefore should be better for modelling certain functions of the human brain. This thesis uses the concept of deriving an SNN from an accepted non-spiking neural network v...
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| Format: | Others |
| Language: | en |
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Université d'Ottawa / University of Ottawa
2021
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| Online Access: | http://hdl.handle.net/10393/42222 http://dx.doi.org/10.20381/ruor-26444 |