title: Beamforming approaches for untethered, ultrasonic neural dust motes for cortical recording: a simulation study.
abstract: In this paper, we examine the use of beamforming techniques to interrogate a multitude of neural implants in a distributed, ultrasound-based intra-cortical recording platform known as Neural Dust. We propose a general framework to analyze system design tradeoffs in the ultrasonic beamformer that extracts neural signals from modulated ultrasound waves that are backscattered by free-floating neural dust (ND) motes. Simulations indicate that high-resolution linearly-constrained minimum variance beamforming sufficiently suppresses interference from unselected ND motes and can be incorporated into the ND-based cortical recording system.
authors.forename: Alexander
authors.initials: A
authors.lastname: Bertrand
authors.forename: Dongjin
authors.initials: D
authors.lastname: Seo
authors.forename: Filip
authors.initials: F
authors.lastname: Maksimovic
authors.forename: Jose M
authors.initials: JM
authors.lastname: Carmena
authors.forename: Michel M
authors.initials: MM
authors.lastname: Maharbiz
authors.forename: Elad
authors.initials: E
authors.lastname: Alon
authors.forename: Jan M
authors.initials: JM
authors.lastname: Rabaey
mesh_terms: D000465:Algorithms; D002540:Cerebral Cortex / Q000502:physiology*; D003198:Computer Simulation; D004567:Electrodes, Implanted; D006801:Humans; D008959:Models, Neurological; D014159:Transducers