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Seminar by Prof Toshihisa Tanaka, Decoding Intention through Invasive Brain-Computer Interfacing with Deep Learning Techniques (07 Feb 2023)
You are cordially invited to the seminar:
Date and Time:
07 Feb 2023 | 10:30am-11:30am, Tuesday
Venue:
NTU EEE Executive Seminar Room (S2.2-B2-53)
Title:
Decoding Intention through Invasive Brain-Computer Interfacing with Deep Learning Techniques
Speaker:
Professor Toshihisa Tanaka
Department of Electrical Engineering and Computer Science
Tokyo University of Agriculture and Technology (TUAT)
Abstract:
Brain-computer interfacing (BCI) is a challenging field that aims to transfer a user's intention without speech. In this talk, we will explore the limitations of non-invasive speech BCIs and present an attempt to decode intention through electronic measurement of neural activity using implanted electrodes (ECoG). We will also discuss how recent state-of-the-art deep learning techniques can be applied to implement invasive BCIs and showcase our recent achievements in this area.
Biography:
Toshihisa Tanaka received the B.E., the M.E., and the Ph.D. degrees from the Tokyo Institute of Technology in 1997, 2000, and 2002, respectively. From 2000 to 2002, he was a JSPS Research Fellow. From October 2002 to March 2004, he was a Research Scientist at RIKEN Brain Science Institute. In April 2004, he joined the Department of Electrical and Electronic Engineering, at the Tokyo University of Agriculture and Technology, where he is currently a Professor. In 2005, he was a Royal Society visiting fellow at the Communications and Signal Processing Group, Imperial College London, U.K. From June 2011 to October 2011, he was a visiting faculty member in the Department of Electrical Engineering, the University of Hawaii at Manoa.
His research interests include a broad area of signal processing and machine learning, including brain and biomedical signal processing, brain-machine interfaces, and adaptive systems. He is a co-editor of Signal Processing Techniques for Knowledge Extraction and Information Fusion (with Mandic, Springer), 2008, and a leading co-editor of Signal Processing and Machine Learning for Brain-Machine Interfaces (with Arvaneh, IET, U.K.), 2018.
He served as an associate editor and a guest editor of special issues in journals, including IEEE Access, Neurocomputing, IEICE Transactions on Fundamentals, Computational Intelligence and Neuroscience (Hindawi), IEEE Transactions on Neural Networks and Learning Systems, Applied Sciences (MDPI), and Advances in Data Science and Adaptive Analysis (World Scientific). He served as editor-in-chief of Signals (MDPI). Currently, he serves as an associate editor of Neural Networks (Elsevier). Furthermore, he served as a Member-at-Large, on the Board of Governors (BoG) of the Asia-Pacific Signal and Information Processing Association (APSIPA). He was a Distinguished Lecturer of APSIPA. He serves as a Vice-President of APSIPA. He is a senior member of IEEE, and a member of IEICE, APSIPA, the Society for Neuroscience, and the Japan Epilepsy Society. He is the co-founder and CTO of Sigron, Inc.
