Neurotechnology
Multiple bioengineering challenges exist today in creating practical, chronic, multichannel neural recording systems for research and for human clinical neural interface application. Specifically, persistent wired connections between user and recording system limit the mobility of both. The transfer of high bandwidth signals to external (even distant) electronics normally requires premature data reduction. Percutaneous, and thus suboptimal, connector components are required. Our group is developing approaches to overcome these limitations via entirely implantable, wirelessly powered and communicating, integrated neural recording microsystems.
Related Publications
Jude JJ, Levi-Aharoni H, Acosta AJ, Allcroft SB, Nicolas C, Lacayo BE, Card NS, Wairagkar M, Brandman DM, Stavisky SD, Willett FR, Williams ZM, Simeral JD, Hochberg LR, Rubin DB
An intuitive, bimanual, high-throughput QWERTY touch typing neuroprosthesis for people with tetraplegia
[In Press, Nature Neuroscience]. medRxiv. 2025 Apr 01: [18 p.]. doi: 10.1101/2025.04.01.25324990
Wilson GH, Stein EA, Kamdar F, Avansino DT, Pun TK, Gross R, Hosman T, Singer-Clark T, Kapitonava A, Hochberg LR, Simeral JD, Shenoy KV, Druckmann S, Henderson JM, Willett FR.
Long-term unsupervised recalibration of cursor-based intracortical brain-computer interfaces using a hidden Markov model
Nat Biomed Eng. 2025 Dec 8. doi: 10.1038/s41551-025-01536-z. Epub ahead of print. PMID: 41361599.
Karpowicz BM, Ali YH, Wimalasena LN, Sedler AR, Keshtkaran MR, Bodkin K, Ma X, Rubin DB, Williams ZM, Cash SS, Hochberg LR, Miller LE, Pandarinath C.
Stabilizing brain-computer interfaces through alignment of latent dynamics
Nat Commun. 2025 May 19;16(1):4662. doi: 10.1038/s41467-025-59652-y. PMID: 40389429; PMCID: PMC12089531.







