Two talks, one by Zied Tayeb on Brain-Computer Interfaces, and another one TBA

A neuroprosthesis is a device that has an interface with the nervous
system and supplements or substitutes functionality in the patient’s body.
Regarding the increasing consumer base of amputees, neuroprosthetic
research has gained a momentum over the last decades. However,
current neuroprostheses still present several limitations especially
on the complexity of tasks that can be performed during movement
recognition. Hybrid brain-computer interface based on the combination
of electroencephalography (EEG) and the electromyography (EMG)
signals could be a promising solution to improve existing
prostheses. Our research project investigates the design of decoding
algorithms to interpret EEG and EMG neuro-recorded signals. In a parallel
investigation, we explore the implementation of those decoding algorithms
on dedicated neuromorphic hardware which allows low-energy real-time
processing to create portable closed-loop neuroprosthetic devices. This
talk will introduce the concept of hybrid brain-computer interfaces (BCI) and
neuromorphic computing. Moreover, an overview of our BCI research projects
will be presented.