MACHINE-BRAIN INTERFACES: IMPROVING THE HUMAN AND MACHINE INTERACTION

The Workshop will be part of the 11th International IEEE EMBS Conference on Neural Engineering (NER2023)

Various Brain-Machine Interface (BMI) paradigms have been developed in the past few years to restore function or improve the quality of life for people with limb difference and neural disorders. However, there is still a long way ahead to improve the interaction between the machine and the human. For instance, sensory feedback is a fundamental part of humans’ interaction with the environment and such feedback is currently missing in the commercial interfaces. To this end, researchers have been investigating different technologies to improve human and machine interactions through machine-to-brain interfaces (MBIs), paving the way to a new generation of interfaces with closed-loop capabilities.

The goal of this workshop is to discuss latest advances and challenges on the pathway to closed-loop brain-machine interfaces. Speakers will present research work and state-of-the-art, addressing the challenges of (i) real-time interfacing with the central and peripheral nervous system (ii) invasive and non-invasive somatosensory interfaces, (iii) closed-loop control of stimulation, and (iv) theoretical models and tools supporting translation efforts.

1:00-1:05PM Opening Remarks: Nitish Thakor (JHU)

1:05-1:30PM Paul Sajda (Columbia)

1:30-1:55PM Ning Lan (Shanghai Jiao Tong University)

1:55-2:20PM Madeleine Lowery (Dublin)

2:20-2:45PM Solaiman Shokur (EPFL)

2:45-3:10PM Lee Fisher (UPitt)

3:10-3:35PM Rahul Kaliki (iBT)

Rising Stars Theme:

3:35-3:55PM Ashley Dalrymple (CMU/Utah)

3:55-4:25PM Luke Osborn and Breanne Christie (APL)

4:25-4:30PM Synopsis (Nitish Thakor)

4:30-5:00PM Q&A Session

Dr. Mohsen Rakhshan (Johns Hopkins University)

Keqin “Catherine” Ding (Johns Hopkins University)

Dr. Andrei Dragomir (National University of Singapore)

Dr. Nitish V. Thakor (Johns Hopkins University)