DTalk Webinar – Massively parallel brain-machine interfaces: how to deal with the data deluge – Prof. Dante Muratore

Brain-computer interfaces (BCIs) of the future will be used to treat neurological disorders for which a cure does not exist yet and expand on the interaction between humans and machines. For this futuristic view to become a reality, we must overcome many technological challenges. A major goal is to increase the number of neurons that we can simultaneously interact with. To do so, future systems will record from more than a thousand channels at the same time. These systems will create a massive amount of raw data that needs to be compressed on the implant to lower the power consumption of the wireless link. As custom signal specifications for BCI applications become clearer and are diverging from those needed for basic neuroscience, there is an opportunity for application-specific lossy compression that further improves the power efficiency of these implants. In this talk, I will cover the basic aspects of compression for BCIs and describe two different compression schemes for a motor BCI and an artificial retina.
Speaker(s): Prof. Dante Muratore,
Virtual: https://events.vtools.ieee.org/m/323748