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From Brain Science to Intelligent Machines

Jinling Wang

Artificial neural networks have been researched extensively and have successfully been used in a wide range of application.Spiking Neural Networks (SNNs) are considered to be the third generation of neural networks, and have more computational power than networks from the previous generations.The main interest for studying spiking neural networks is their close resemblance with biological neural networks.For training large networks and large data sets, online learning is the more natural approach for learning non-stationary tasks.In this project, existing online algorithms will be studied and the possibilities of developing online learning algorithms for SNNs will be investigated.The new training approaches will be validated using real world applications.