Brain Machine Interface: Challenges and Opportunities
October 16 @ 12:00 pm - 1:00 pm
Title: Brain Machine Interface: Challenges and Opportunities
Date/Time: (PST)- 12:00pm to 1:00pm Thu, Oct 16 2025
Abstract: Brain Machine interfaces have the potential to revolutionize therapy for neurological diseases, because they target the nervous system with high spatiotemporal resolution as opposed to alternative therapies. Next-generation brain machine interfaces will benefit from an implantable neural recording IC with a dense, high channel count recording array that can be directly matched to a micro-electrode array (MEA) at the pitch of neurons (≈30 µm) to effectively capture spatiotemporal patterns of neural activity at single-cell resolution. These devices must support simultaneous recording from multiple thousands of neurons within the form factor and power budget of a fully implanted device. Hence, there is a requirement for an architectural paradigm shift to meet the design targets. In this talk, we will delve into specific challenges and approaches to achieve intended targets.
Speaker Bio: Dante G. Muratore received a B.Sc. and an M.Sc. degree in Electrical Engineering from Politecnico of Turin, Italy in 2012 and 2013, respectively. He received a Ph.D. degree in Microelectronics from the University of Pavia, Italy in 2017 in the Integrated Microsystems Lab. From 2015 to 2016, he was a Visiting Scholar at Microsystems Technology labs at the Massachusetts Institute of Technology, USA. From 2016 to 2020, he was a Postdoctoral Fellow at Stanford University, USA. He is the recipient of the Wu Tsai Neurosciences Institute Interdisciplinary Scholar Award. Since 2020, he is an assistant professor in the Bioelectronics Section at Delft University of Technology, Netherlands, where he leads the Smart Brain Interfaces group. His research focuses on hardware design for brain-machine interfaces, bioelectronics and machine learning. https://microelectronics.tudelft.nl/People/bio.php?id=690
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