The Workshop will be part of the 43rd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC 2021) and will be held virtually (Date and Time TBC).
Synopsis: The Brain-Machine Interface (BMI) is a thriving and rapidly expanding field. BMIs have been developed during the recent years for people with severe disabilities to restore function or improve their quality of life. Moreover, closed-loop, bidirectional brain-to-machine (BMI) and machine-to-brain (MBI) feedback systems have recently been developed and extended to incorporate related research areas, such as rapid functional mapping on the cortical level, and rehabilitation & therapy after disabling injuries. This novel BMI/MBI paradigm holds the promise of bringing major improvements in the restoration of motor and somatosensory function. The MBI stream of the BMI/MBI paradigm, typically used for encoding sensory feedback to the brain has seen recent significant progress, paving the way to a new generation of neuroprostheses with closed-loop capabilities. Furthermore, neurorobotics applications, which fuse robotics, neuroscience and artificial intelligence, enable the expansion of BMI/MBI by providing a platform to validate neuroscientific models, as well as opening the possibility of developing seamlessly integrated artificial limbs, which function as complex machines, thus providing enhanced embodiment and functionality.
The goal of this workshop is to discuss latest advances and challenges on the pathway to translational BMI/MBIs and neurorobotics for neurorehabilitation. Speakers will present research work and state-of-the-art, addressing the challenges of (i) real-time neural decoding and encoding, (ii) technological advances for interfacing with the peripheral and central nervous system, (iii) neuromodulation paradigms, covering invasive and noninvasive solutions, (iv) tools for cortical mapping of sensorimotor function, (v) theoretical models and tools supporting translation efforts.
The participants are expected to be rising graduate students and post-doctoral fellows. Additional academic researchers are encouraged to participate as well to develop and participate in collaborative networks. The workshop will conclude with an expert panel discussion highlighting challenges and opportunities as well as expected future developments in the field.
Reference and reading material will include The Handbook of Neuroengineering (Springer-Nature, to be published) and papers/reviews contributed by the presenters.
Brain-Machine Interface (Cortical/Intracortical)
- Jennifer Collinger (University of Pittsburgh) Restoring Upper Limb Movement and Sensation Through Intracortical Brain-Computer Interfaces
- Cynthia Chestek (University of Michigan) Amplifying signals from individual nerve fascicles
- Bolu Ajiboye (Case Western) Neural Representation of observed, imagined, and Attempted Grasping force in Motor cortex of individuals with chronic tetraplegia
- Flavia Vitale (UPenn) Microfabricated Intracortical Extracellular Matrix-Microelectrodes for Improving Neural Interfaces
Machine to Brain Interface – Sensory restoration
- Stanisa Raspopovic (ETH) Advancing bi-directional limb neural prostheses
- Tamar Makin (UCL) Soft Embodiment for Engineering Artificial Limbs
- Luke Osborn (Johns Hopkins University, Applied Physics Lab) Bilateral microstimulation for sensory feedback
- Max Ortiz-Catalan (Chalmers University) Chronic Use of a Sensitized Bionic Hand
- Chad Bouton (Northwell Health) Brain Implants and Wearables Reroute Signals to Restore Movement and Sensation
Closing the loop
- Maryam M. Shanechi (USC) Dynamic Brain Network Modeling and Decoding for Closed-Loop Neuromodulation of Mental States
- Andrei Dragomir (National University of Singapore) Dynamic Brain Networks for Multisensory Integration
Neurorobotics and Exoskeletons
- Gordon Cheng (Technical University of Munich): Neuroengineering Challenges of Fusing Robotics and Neuroscience
- Jose Contreras Vidal (University of Houston) - Motor Recovery Following Brain-Exoskeleton Interface Mediated Stroke Rehabilitation
- Rahul Kaliki (Infinite Biomedical Technologies, Johns Hopkins University) State of the Art of Upper Limb Prosthesis
Expert Panel Discussion
- Nitish Thakor (Johns Hopkins University) – Multisensory input, invasive vs noninvasive and Sensory cognition
- Silvestro Micera (EPFL) - Restoration of sensory information via bionic hands
- Dustin Tyler (Case Western Reserve University) - Future directions in human machine interface
- Nathan Crone (Johns Hopkins University) Decoding native cortical representations for flexion and extension at upper limb joints using electrocorticography
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National University of Singapore