Imperial College London > Talks@ee.imperial > Themistoklis Prodromakis's list > Learning and computation in real-time event-driven neuromorphic systems
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Learning and computation in real-time event-driven neuromorphic systemsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Themistoklis Prodromakis. I will present an overview of the spike-based neuromorphic VLSI systems we have been developing at the Institute of Neuroinformatics, ETH . In particular I will briefly describe the event-driven vision and auditory sensors developed by my colleagues, and present neural architectures and spike-based learning circuits that can be used to process the signals derived from these sensors for building real-time sensory-motor systems and state-dependent computation. Giacomo Indiveri obtained an M.Sc. degree in electrical engineering and a Ph.D. degree in computer science from the University of Genoa, Italy. After his post-doctoral studies in the Division of Biology at Caltech and at the Institute of Neuroinformatics of the University of Zurich and ETH Zurich, he attained the “habilitation” in Neuromorphic Engineering at the ETH Department of Information Technology and Electrical Engineering. Indiveri is currently Professor in the Faculty of Science at the University of Zurich. His research interests lie in the study of neural computation, with particular interest in spike-based learning and selective attention mechanisms, and in the hardware implementation of real-time sensory-motor systems using neuromorphic circuits and VLSI technology. This talk is part of the Themistoklis Prodromakis's list series. This talk is included in these lists:Note that ex-directory lists are not shown. |
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