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Richard George (Senior Member, IEEE) received the M.Sc. degree in medical engineering from HTW and the University of Saarland, Saarbrcken, Germany, in 2013, with a specialization Neural Engineering, and the Ph.D. degree in computational neurosciences from the Institute of Neuroinformatics of UZH and ETH Zürich, Zürich, Germany, in 2018, for his work on structural plasticity in neuromorphic systems. He is currently a Postdoctoral Fellow with the Chair of highly-parallel VLSI-systems and neuromorphic circuits, Technische Universität Dresden, Dresden, Germany. His aim of research is the creation of active and intelligent neuroprosthetic devices. His particular focus is in the creation of energy efficient computational architectures capable of processing electrophysiological signals and forming electrical response stimuli within biohybrid closed-loop systems.
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2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)pp.1-5, (2023)
IEEE Solid-State Circuits Letters (2023): 145-148
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2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)pp.1-5, (2023)
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2022 17th Conference on Ph.D Research in Microelectronics and Electronics (PRIME)pp.297-300, (2022)
2022 IEEE Asian Solid-State Circuits Conference (A-SSCC)pp.1-3, (2022)
iScienceno. 10 (2020): 101589-101589
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