Artificial Grammar Recognition Using Spiking Neural Networks
This thesis explores the feasibility of Artificial Grammar (AG) recognition using spiking neural networks. A biologically inspired minicolumn model is designed as the base computational unit. Two network topographies are defined with different ideologies. Both networks consists of minicolumn models,...
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| Format: | Others |
| Language: | English |
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Mälardalens högskola, Akademin för innovation, design och teknik
2009
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-5875 |