EMBC Conference Workshop, July 17, 2020
The Workshop will be part of the 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC 2020) and will be held virtually on Friday, July 17, 2020, between 8:30am -12:30pm EDT.
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, BMI applications have recently been extended to related research areas, such as rapid functional mapping on the cortical level, and rehabilitation & therapy after disabling injuries. In this direction, incorporating closed-loop, bi-directional brain-to-machine interfaces (BMI), and machine-to-brain (MBI) feedback systems into neuroprosthetic devices 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.
The goal of this workshop is to discuss latest advances and challenges on the pathway to translational BMI/MBIs 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.
All presentations will be made available to the registrants.
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) Intracortical control of grasping after chronic spinal cord injury
- Nathan Crone (Johns Hopkins University) Decoding native cortical representations for flexion and extension at upper limb joints using electrocorticography
- Mikhail Lebedev (Duke University) - Bidirectional neural interfaces based on intracranial implants
Machine to Brain Interface – Sensory (upper limb)
- Silvestro Micera (Ecole Politechnique Federale de Lausanne) i4LIFE: intraneural neuroprostheses to understand and restore sensory, motor, and autonomic neural functions
- Dustin Tyler (Case Western Reserve University) - Tactile feedback through implantable neural interface
Machine to Brain Interface – Sensory (lower limb)
- Jose Contreras Vidal (University of Houston) - Noninvasive Brain–machine interfaces for controlling lower-limb powered robotic systems
- Stanisa Raspopovic (ETH) Enhancing functional abilities and cognitive integration of the lower limb prosthesis
Closing the loop
- Karen Moxon (University of California- Davis) Beyond Neuroprosthetics: the New Science of Cognitive Neuroengineering
- Rajesh Rao (University of Washington) - Towards Neural Co-Processors for the Brain: Combining Decoding and Encoding in Brain-Computer Interfaces
- Chet Moritz (University of Washington) - Systems and methods for brain stimulation for recovery from brain injury
- Maryam M. Shanechi (University of Southern California) - Brain–machine interfaces from motor to mood
SINAPSE Laboratory, The N.1 Institute for Health
28 Medical Dr. #05-COR Singapore 117456
National University of Singapore