Improved margin multi-class classification using dendritic neurons with morphological learning
We present an architecture of a spike based multiclass classifier using neurons with non-linear dendrites and sparse synaptic connectivity where each synapse takes a binary value. The learning in this model happens not through weight updates but through structural changes, i.e. a change of connectiv...
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Main Authors: | , , |
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Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2015
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/100389 http://hdl.handle.net/10220/25710 |
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Institution: | Nanyang Technological University |
Language: | English |
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