Ultrasonic Brain Computer Interfaces for Enhancing Human-Machine Cognition
William J. Tyler

TL;DR
This paper reviews recent advances in ultrasonic brain-computer interfaces using transcranial focused ultrasound, highlighting its high spatial resolution, deep targeting, and potential for real-time, bidirectional human-machine communication.
Contribution
It discusses scientific and engineering breakthroughs enabling closed-loop ultrasonic BCIs with real-time feedback for cognitive enhancement and adaptive neural interfacing.
Findings
tFUS can target deep brain structures with millimeter precision
Closed-loop uBCIs incorporate real-time electrophysiological feedback
Ultrasound sensors enable decoding muscle activation and monitoring brain activity
Abstract
Low-intensity transcranial focused ultrasound (tFUS) is rapidly emerging as a transformative non-invasive brain stimulation (NIBS) modality characterized by high spatial resolution and ability to target deep brain circuits. Unlike electromagnetic techniques such as transcranial magnetic stimulation and transcranial direct current stimulation, which are constrained by centimeter-scale resolution and a depth-focality tradeoff, tFUS leverages mechanical pressure waves to modulate both superficial cortical and deep subcortical structures with millimeter precision. This article discusses recent scientific observations and engineering breakthroughs in the advancement of tFUS for next-generation ultrasonic brain-computer interfaces (uBCIs) and human-machine interfaces. These advancements move beyond open-loop systems and demonstrate closed-loop architectures that incorporate real-time…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
