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[Archimedes Seminar Series] Bridging Minds to Machines: Current Challenges in Brain-Machine Interface Technology

Dates
2024-07-19 12:00 - 14:00
Venue
Artemidos 1 - Amphitheater

 

Archimedes Seminar Series: Bridging Minds to Machines: Current Challenges in Brain-Machine Interface Technology

Prof. Nicholas Hatsopoulos

Professor at the University of Chicago

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Abstract: A fundamental challenge in developing useful brain machine interfaces (BMIs) is to augment BMIs with kinesthetic and tactile feedback. We have attempted to provide kinesthetic feedback by using cortically-controlled exoskeletal robots to provide naturalistic kinesthetic feedback. This approach could be practical for subjects with residual sensation which is common in spinal cord-injured patients. To provide tactile feedback, we are using electrical stimulation of somatosensory cortex (S1) to deliver artificial tactile feedback. While successful in providing localized tactile percepts, we have documented that electrical stimulation in S1 can disrupt BMI decoding from motor cortex due to anatomical connections between these two areas. I will present our attempt to address this challenge.

Bio: Nicholas G. “Nicho” Hatsopoulos, Ph.D. is currently a Professor at the University of Chicago. Dr. Hatsopoulos was also Chairman of the Computational Neuroscience graduate program from 2008-2015. Dr. Hatsopoulos completed two postdoctoral research fellowships, one in the Department of Neuroscience at Brown University and the other in the Computational Neuroscience Program at the California Institute of Technology. Dr. Hatsopoulos completed his B.A. in Physics from Williams College in 1984, his M.S. in Psychology in 1991 and his Ph.D. in Cognitive Science from Brown University in 1992. In 2001, he co-founded a company, Cyberkinetics Neurotechnology Systems, which took the basic scientific research he and his colleagues conducted to develop neural prosthesis technology to assist people with severe motor disabilities. His research focuses on the neural basis of motor control and learning. He is investigating what features of motor behavior are encoded and how this information is represented in the collective activity of neuronal ensembles in the motor cortex. He is also interested in how these representations change as motor learning occurs. To answer these questions, the electrical discharge of many motor cortical neurons is simultaneously recorded using multi-electrode arrays and correlated with motor behavior. The encoding properties of individual motor cortical neurons are being studied to determine how these single cell properties relate to higher-order representations involving groups of neurons. The possibility that changes in functional connectivity among neurons may occur during motor learning is also being explored.

 

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Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

NEWS

 
New Publication by Archimedes Lead Researcher John Pavlopoulos

New Publication by Archimedes Lead Researcher John Pavlopoulos

5 September 2025

A new paper co-authored by John Pavlopoulos from Archimedes Research Unit at the Athena Research Center, Kanella K. Pouliand Maria Gavriilidou from the Institute for Language and Speech Processing (ILSP) at the Athena Research Center, and Juli Bakagianni from the Department of Informatics of the Athens University of Economics & Business (AUEB) has been accepted for publication at Patterns journal.

Archimedes Workshop on Dialect NLP

Archimedes Workshop on Dialect NLP

25 August 2025

Upcoming workshop on Dialect NLP on “Standardization and Variation for Dialect Varieties with Universal Dependencies as an Application Framework” coming up. We are excited to announce that the Dialect NLP team at Archimedes, Athena Research Center, Greece, is organizing a workshop in collaboration with the MaiNLP Research Lab at Ludwig Maximilian University (LMU) of Munich.

More news items here
 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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