Racing to Learn: Statistical Inference and Learning in a Single Spiking Neuron with Adaptive Kernels
This paper describes the Synapto-dendritic Kernel Adapting Neuron (SKAN), a simple spiking neuron model that performs statistical inference and unsupervised learning of spatiotemporal spike patterns. SKAN is the first proposed neuron model to investigate the effects of dynamic synapto-dendritic kern...
Main Authors: | Saeed eAfshar, Libin eGeorge, Jonathan eTapson, André evan Schaik, Tara Julia Hamilton |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2014-11-01
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Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00377/full |
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