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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

 
BabyLM Challenge Award at EMNLP 2025 Workshop!

BabyLM Challenge Award at EMNLP 2025 Workshop!

17 November 2025

Researchers Despoina Kosmopoulou, Efthymios Georgiou, Vaggelis Dorovatas, Georgios Paraskevopoulos, and Alexandros Potamianos from Archimedes, Athena Research Center, Greece, from the National Technical University of Athens, Greece, the University of Bern, Switzerland and the Institute of Language and Signal Processing (ILSP) of the Athena Research Center, Greece, received the BabyLM Challenge Award (Strict track) for NLP tasks at "The First BabyLM Workshop: Accelerating Language Modeling Research with Cognitively Plausible Datasets", which took place in Suzhou, China, during the 30th Annual Conference on Empirical Methods in Natural Language Processing (EMNLP 2025).

Two Best Paper Awards at BIBE 2025

Two Best Paper Awards at BIBE 2025

12 November 2025

Researchers from the Archimedes Unit of the Athena Research Center, Greece, together with researchers from the Computer Science Department of the University of Crete, Greece; Stelios M. Smirnakis, Associate Neurologist at Brigham and Women’s Hospital, USA and Associate Professor at Harvard Medical School, USA; and Maria Papadopouli, Professor of Computer Science at the University of Crete, Greece, Affiliated Researcher at the Institute of Computer Science, FORTH, Crete, Greece and Lead Researcher at Archimedes, Athena Research Center, Greece, received two Best Paper Awards at the 25th annual IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2025), which took place on November 6-8, 2025 in Athens, Greece.

10 Papers Accepted at EMNLP 2025!

10 Papers Accepted at EMNLP 2025!

5 November 2025

The Conference on Empirical Methods in Natural Language Processing (EMNLP) is a major annual conference for researchers in natural language processing, machine learning, and artificial intelligence. It has been organized by the Association for Computational Linguistics (ACL) Special Interest Group on Data (SIGDAT) since 1996 and is celebrating its 30th anniversary this year.

Archimedes Seminar by Mark Girolami, Chief Scientist of the Alan Turing Institute, UK

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On Friday 7 November, 2025, from 1:00 pm to 2:00 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Mark Girolami, Sir Kirby Laing Professor of Civil Engineering within the Department of Engineering at the University of Cambridge, UK, where he also holds the Royal Academy of Engineering Research Chair in Data Centric Engineering, and Chief Scientist of the Alan Turing Institute, UK, will deliver an Archimedes Seminar on "Statistical Finite Element Methods."

Archimedes Talk by Alexandra Meliou on

Archimedes Talk by Alexandra Meliou on "Data Analysis and Manipulation through a Constrained Optimization Lens"

22 October 2025

On Tuesday 4 November, 2025, from 1:00 pm to 2:00 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Professor Alexandra Meliou, Professor at the College of Information and Computer Sciences at the University of Massachusetts Amherst, USA, and a visiting researcher at the Archimedes Research Unit, Athena Research Center, Greece, will deliver an Archimedes talk on "Data Analysis and Manipulation through a Constrained Optimization Lens."

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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