Computing Science Seminar. Kasabov on “Deep Learning, Spiking Neural Networks and Spatio …

01 September 2016, 13:00 – 14:00 Speaker: Nikola Kasabov Abstract: The current development of the third generation of artificial neural networks – the spiking neural networks (SNN) along with the technological development of highly parallel neuromorphic hardware systems of millions of artificial spiking neurons as processing elements, makes it possible to model complex data in a more efficient, brain-like way [1,2]. The talk presents some principles of SNN and of deep learning in SNN. It introduces a recently proposed evolving SNN architecture called NeuCube. NeuCube is a non von Neumann, neuromorphic computational architecture, first proposed for brain data modelling [3,4]. It was further developed as a general purpose SNN spatio-temporal data machine and a development system for the creation and testing of temporal or spatio/spectro temporal data applications [5,11]. A…


Link to Full Article: Computing Science Seminar. Kasabov on “Deep Learning, Spiking Neural Networks and Spatio …