A modular neural interface for massively parallel recording and control : subsystem design considerations for research and clinical applications

[摘要] In this thesis, I present decoupled design solutions for three critical subcomponents of the closed-loop BMI - (i) a highly miniature, wirelessly powered and wirelessly controlled implantable optogenetic neuromodulation system capable of selective neural network control with single neural subtype- and millisecond-timescale precision, (ii) a prototype, highly parallel and scalable bio-potential recording system for simultaneous monitoring of many thousands of electrodes, and (iii) a space- and energy-efficient battery charger for biomedical applications. In aggregate, these systems overcome many of the fundamental architectural problems seen in the research and clinical environment today, potentially enabling a new class of neuromodulation system capable of treatment of higher-order cognitive dysfunction. In the research setting, these systems may be scaled to enable whole-brain recording, potentially yielding insights into large-scale neural network dynamics underlying disease and cognition.

[发布机构] Massachusetts Institute of Technology