Using Semi-supervised Clustering for Neurons Classification
We wish to understand brain; discover its sophisticated ways of calculations to invent improved computational methods. To decipher any complex system, first its components should be understood. Brain comprises neurons. Neurobiologists use morphologic properties like “somatic perimeter”, “axonal leng...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Databas och informationsteknik
2013
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92719 |