Neural Dust: An Ultrasonic, Low Power Solution for Chronic Brain-Machine Interfaces Dongjin Seo ∗, Jose M. Carmena ∗ y, Jan M. Rabaey ∗ , Elad Alon ∗ z, and Michel M. Maharbiz ∗ z ∗Department of Electrical Engineering and Computer Sciences and yHelen Wills Neuroscience Institute, University of California, Berkeley, CA, USA zJoint senior authors Correspondence to:
[email protected] A major hurdle in brain-machine interfaces (BMI) is the lack of emission tomography (PET), and magnetoencephalography (MEG) an implantable neural interface system that remains viable for have provided a wealth of information about collective behaviors of a lifetime. This paper explores the fundamental system design groups of neurons [16]. Numerous efforts are focusing on intra- [17] trade-offs and ultimate size, power, and bandwidth scaling limits and extra-cellular [18] electrophysiological recording and stimula- of neural recording systems built from low-power CMOS circuitry tion, molecular recording [19], optical recording [20], and hybrid coupled with ultrasonic power delivery and backscatter commu- nication. In particular, we propose an ultra-miniature as well as techniques such as opto-genetic stimulation [21] and photo-acoustic extremely compliant system that enables massive scaling in the [22] methods to perturb and record the individual activity of neu- number of neural recordings from the brain while providing a path rons in large (and, hopefully scalable) ensembles. All modalities, of towards truly chronic BMI. These goals are achieved via two