Post doc Neuropixels-SWIPT– Neuropixels with Simultaneous Wireless Information and Power Transfer for Chronic Implantable Research and Brain Machine Interfaces(BMI’s): near-field RF system design
Project descriptionPlease note that this project is in the framework of CSC-IMEC-KU Leuven Scholarships. Please read the requirements before applying here.
Over the past 6 years IMEC has done extensive research and development, in ultra‐high density neural probes (1000's of electrodes in a single laminar plane) and neurotechnology, and this has involved doing both exploratory/basic research/innovation and development , in material science of biocompatible materials and electrodes, in CMOS based MEM's process integration schemes, and advanced analog circuit design, and transitioning these efforts from R&D to low volume production as the" Neuropixels" probes1, 2,3,4. These Neuropixels probes are enabling a new era of neural electrophysiology research, enabling for the first time routine mapping of neural activity across multiple brain regions and simultaneously recording from 1000's of neurons5. These world class probes have been adopted by around 250 global leading neuroscience labs, and are enabling transformational neuroscience at places like the Allen Institute, HHMI‐Janelia Research Center, Sainsbury‐Wellcome Center, HHMI Stanford, etc., establishing these probes as the reference standard as a world class research tool. The next grand challenge that IMEC is undertaking is to enable these ultra-high density Neuropixels probes (100's of channels needing between 25‐100Mbs/s and 10‐50mW of power) to be applied to experiments involving the real time behavioral studies and brain machine interfaces which need wireless and chronic implantable system. Hence the need for the Neuropixels probes to be used as a seamless, high density, chronic interface to the nervous system is essential to enable clinically relevant applications such as electroceuticals or brain‐machine interfaces (BMI). Currently, a major hurdle in neurotechnology is the lack of an implantable neural interface system that remains viable for a patient's lifetime due to the development of biological response near the implant. Recently, mm‐scale implantable electromagnetics (EM) based wireless neural interfaces have been demonstrated in an effort to extend system longevity, but the implant size scaling (and therefore density) is ultimately limited by the power available to the implant. In this project, Neuropixels‐SWIPT, is an entirely new method of wireless power and data telemetry using a combination of ultrasound and electromagnetics, which can address fundamental issues associated with using only EM to interrogate miniaturized mm‐scale neurotechnology implants. Key concepts and fundamental system design trade‐ offs and ultimate size, power, and bandwidth scaling limits of such a system will be analyzed from first principles. We intend to design, implement and demonstrate and realize, both theoretically and experimentally, that Neuropixels‐SWIPT concept scales extremely well, down to mm‐scale implants which support 100's of single neuron precision channels, needing 20‐100Mbs and 10‐50mW of power transfer to subdural implants through 20‐30mm of tissue and bone. We intend to design and implement highly integrated millimeter sized bi‐directional transducers which are capable of wireless recordings from nerve and muscle in an animal model using Neuropixels‐SWIPT prototype. This project will involve, the codevelopment and integration new materials and CMOS process integration schemes, complex multiphysics‐in‐body near‐field communication system design jointly with collaboration with Analog and RF ASIC designers so to developed state of the art of driver and communications integrated circuits. The project will also include system level analysis of the application of Neuropixels‐SWIPT in distributed sensor applications.
Please note that this project is in the framework of CSC-IMEC-KU Leuven Scholarships. Please read the requirements before applying here.
Supervisor: Chris Van Hoof (KU Leuven)
Daily advisor: Yao-Hong Liu
Required background: Solid background in RF system design and in‐body EM propagation modeling. High interest in neural interfacing applications
Type of work: Wireless prototype design and simulation, system integration and evaluation, in‐body EM propagation modeling