Unravelling the Brain with High Density CMOS Neural Probes: Presented By Nick Van Helleputte

Date

2022-11-16

Time

10:00 AM EST

Location

Webinar - Online

Contact

Aeisha VanBuskirk – a.gauba@ieee.org

Web site

https://ieee.webex.com/ieee/onstage/g.php?MTID=ed3e155277c05e466cdf275bdbd7ca0c2

Sponsorship

Sponsor

Presenter

Nick Van Helleputte

Description

Abstract: Large-scale neural interfacing is needed to provide better understanding of the brain at the cellular level and to develop more advanced prosthetic devices and brain-machine interfaces. However, interfacing with biological tissues poses many challenges such as biocompatibility, the size scale of cellular features, the stability and longevity of the materials in a moist environment at body temperature, and the tiny signal amplitudes to be captured. Therefore, the devices and circuits designed for these interfaces need fulfil a series of requirements to tackle these challenges. This talk will provide a general overview of existing techniques and requirements to perform neural recording, as well as an in-depth review of CMOS neural probes: technology requirements, materials, circuit techniques, design problems and possible solutions. A discussion on future trends and remaining challenges will also be included. Biography: Nick Van Helleputte received the MS degree in electrical engineering in 2004 from the Katholieke Universiteit Leuven, Belgium. He received his Ph.D. degree from the same institute in 2009 (MICAS research group). His PhD research focused on low-power ultra-wide-band analog front-end receivers for ranging applications. He joined imec in 2009 as an Analog R&D Design Engineer. He is currently Scientific director of Circuits & Systems for health. His research focus is on ultra-low-power circuits for biomedical applications. He has been involved in analog and mixed-signal ASIC design for wearable and implantable healthcare applications. Dr.Van Helleputte has developed ultra-low-power custom ICs for multi-modal vital signs sensing. His research focused on complete system-on-chip solutions covering all aspects including analog amplification and filtering, analog-to-digital conversion, digital signal and processing power management. He also worked on neural interfaces in the form of active high-density neural probes for the central and peripheral nervous system. Nick is an IEEE and SSCS member (SSCS Distinguished Lecturer ’17-‘18) and served on the technical program committee of VLSI circuits symposium and ISSCC.