Racing to Learn: Statistical Inference and Learning in a Single Spiking Neuron with Adaptive Kernels

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...

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Bibliographic Details
Main Authors: Saeed eAfshar, Libin eGeorge, Jonathan eTapson, André evan Schaik, Tara Julia Hamilton
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-11-01
Series:Frontiers in Neuroscience
Subjects:
STDP
neuromorphic engineering
unsupervised learning
spiking neural networks
dendritic computations
stochastic computation
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00377/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00377/full

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