Work

Beamforming approaches for untethered, ultrasonic neural dust motes for cortical recording: A simulation study

Year: 2014

Type: conference-paper

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.

Source: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

DOI: 10.1109/embc.2014.6944161

Authors: Alexander Bertrand, Dongjin Seo, Filip Maksimovic, Jose M. Carmena, Michel M. Maharbiz, Elad Alon, Jan M. Rabaey

Institutions: KU Leuven, University of California, Berkeley

Language: English

Topic: Neuroscience and Neural Engineering

Subfield: Cellular and Molecular Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funders: National Science Foundation, California Institute of Technology, Fonds Wetenschappelijk Onderzoek, Vlaamse regering

OpenAlex ID: W2324888306

FWCI: 13.12

Cites: 9

Cited by: 20

Related to: 10