About this Event
135 N Skinker Blvd, St. Louis, MO 63112, USA
##WashUESESeminarTitle: Interfacing the Brain: High-Channel-Count Neural Recording and Minimally Invasive Neural Stimulation ASICs
Abstract: The brain's complexity governs our interactions with the world, and unraveling its mysteries could transform the diagnosis and treatment of neurological disorders, which pose a significant health challenge. Specialized tools, particularly neural interfaces, are crucial in this pursuit. These interfaces act as communication pathways between the brain and external devices.
My research addresses two critical areas: high-channel-count neural recording and minimally invasive neural stimulation. In the realm of neural recording, current technologies face challenges in scalability, limiting the number of neurons that can be recorded simultaneously. This limitation hinders our ability to fully understand the brain's complex communication networks. My work focuses on developing advanced recording systems capable of capturing the activity of a larger number of neurons concurrently.
On the stimulation side, traditional electrical methods raise concerns about long-term safety due to the electrode-tissue interface. While non-invasive techniques such as Transcranial Magnetic Stimulation (TMS) offer an alternative, they suffer from limitations in precision and hardware bulkiness. My research aims to develop minimally invasive stimulation techniques that mitigate these issues, offering safer and more precise methods to modulate brain activity.
By addressing these two critical challenges, my work strives to push the boundaries of neural interfacing, bringing us closer to a deeper understanding of brain function and its potential therapeutic applications.
Bio: Dr. Yingying Fan has expertise in RF/mm-wave IC, analog/mixed-signal IC design, and multiphysics modeling, combined with experience in nanofabrication and animal experiments. Her research interest includes integrated biosensors, bio-actuators, and biology-electronics hybrid systems for neural interface and healthcare applications. In December 2024, she received her Ph.D. in Electrical and Computer Engineering working with Dr. Taiyun Chi at Rice University, where she is currently a postdoc researcher.
She has been recognized with numerous prestigious honors, including 2024 Rising Star by MIT's EECS and 2024 Solid-State Circuits Society (SSCS) Rising Star, Future Faculty Fellowship and the Nettie S. Autrey Fellowship from Rice University. In addition, she received the 2024 Circuits and Systems Society (CASS) Pre-Doctoral Grant, the 2022 SSCS Predoctoral Achievement Award, and the 2021 Microwave Theory and Technology Society (MTT-S) Graduate Fellowship Award for Medical Applications.
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About this Event
135 N Skinker Blvd, St. Louis, MO 63112, USA
##WashUESESeminarTitle: Interfacing the Brain: High-Channel-Count Neural Recording and Minimally Invasive Neural Stimulation ASICs
Abstract: The brain's complexity governs our interactions with the world, and unraveling its mysteries could transform the diagnosis and treatment of neurological disorders, which pose a significant health challenge. Specialized tools, particularly neural interfaces, are crucial in this pursuit. These interfaces act as communication pathways between the brain and external devices.
My research addresses two critical areas: high-channel-count neural recording and minimally invasive neural stimulation. In the realm of neural recording, current technologies face challenges in scalability, limiting the number of neurons that can be recorded simultaneously. This limitation hinders our ability to fully understand the brain's complex communication networks. My work focuses on developing advanced recording systems capable of capturing the activity of a larger number of neurons concurrently.
On the stimulation side, traditional electrical methods raise concerns about long-term safety due to the electrode-tissue interface. While non-invasive techniques such as Transcranial Magnetic Stimulation (TMS) offer an alternative, they suffer from limitations in precision and hardware bulkiness. My research aims to develop minimally invasive stimulation techniques that mitigate these issues, offering safer and more precise methods to modulate brain activity.
By addressing these two critical challenges, my work strives to push the boundaries of neural interfacing, bringing us closer to a deeper understanding of brain function and its potential therapeutic applications.
Bio: Dr. Yingying Fan has expertise in RF/mm-wave IC, analog/mixed-signal IC design, and multiphysics modeling, combined with experience in nanofabrication and animal experiments. Her research interest includes integrated biosensors, bio-actuators, and biology-electronics hybrid systems for neural interface and healthcare applications. In December 2024, she received her Ph.D. in Electrical and Computer Engineering working with Dr. Taiyun Chi at Rice University, where she is currently a postdoc researcher.
She has been recognized with numerous prestigious honors, including 2024 Rising Star by MIT's EECS and 2024 Solid-State Circuits Society (SSCS) Rising Star, Future Faculty Fellowship and the Nettie S. Autrey Fellowship from Rice University. In addition, she received the 2024 Circuits and Systems Society (CASS) Pre-Doctoral Grant, the 2022 SSCS Predoctoral Achievement Award, and the 2021 Microwave Theory and Technology Society (MTT-S) Graduate Fellowship Award for Medical Applications.