Prof Kasabov delivers keynote speech at EANN (Engineering Applications of Neural Networks) 2011, Greece, September 2011
His presentation was titled "Evolving, Probabilistic Spiking Neural Network Reservoirs for Spatio- and Spectro-Temporal Data".
Professor Kasabov was invited to speak at the 12th EANN / 7th AIAI Joint Conferences held from 15 - 18 September 2011, Corfu, Greece. He delivered the keynote address on 16 September entitled "Evolving, Probabilistic Spiking Neural Network Reservoirs for Spatio- and Spectro-Temporal Data".
Spatio- and spectro-temporal data (SSTD) are the most common data in many domain areas, including bioinformatics, neuroinformatics, ecology, environment, medicine, economics, etc., and still there are no sufficient methods to model such data and to discover complex spatiotemporal patterns from it. The talk introduces new methods for modeling and pattern recognition of SSTD based on novel evolving probabilistic spiking neural network reservoir (epSNNr) architecture.
Spatio- and spectro-temporal data (SSTD) are the most common data in many domain areas, including bioinformatics, neuroinformatics, ecology, environment, medicine, economics, etc., and still there are no sufficient methods to model such data and to discover complex spatiotemporal patterns from it. The talk introduces new methods for modeling and pattern recognition of SSTD based on novel evolving probabilistic spiking neural network reservoir (epSNNr) architecture.
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