Johnston, SP, Prasad, G, Maguire, Liam and McGinnity, TM (2006) A Hybrid Learning Algorithm Fusing STDP with GA based Explicit Delay Learning for Spiking Neurons. In: 3rd IEEE International conference on Intelligent Systems, Westminster, London, September 06. IEEE. 6 pp. [Conference contribution]
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This paper presents a hybrid learning algorithmfor spiking neural networks (SNNs), referred to as an evolvablespiking neural network (ESNN) paradigm. The algorithmintegrates a supervised and unsupervised learning approach.The unsupervised approach exploits a Spike Timing DependentPlasticity (STDP) mechanism with explicit delay learningfor multiple connections between neurons. Supervision of thesynaptic delays and the excitatory/inhibitory connections isgoverned by a genetic algorithm (GA), while the STDP rule isfree to operate in its normal unsupervised manner. A spike trainencoding/decoding scheme is developed for the algorithm. Theapproach is validated by application to the Iris classificationproblem.
|Item Type:||Conference contribution (Paper)|
|Faculties and Schools:||Faculty of Computing & Engineering|
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
|Research Institutes and Groups:||Computer Science Research Institute|
Computer Science Research Institute > Intelligent Systems Research Centre
|Deposited By:||Professor Girijesh Prasad|
|Deposited On:||16 May 2011 11:39|
|Last Modified:||23 Jun 2011 11:15|
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