| Autor: |
Jung T, Zeng N, Fabbri JD, Eichler G, Li Z, Willeke K, Wingel KE, Dubey A, Huq R, Sharma M, Hu Y, Ramakrishnan G, Tien K, Mantovani P, Parihar A, Yin H, Oswalt D, Misdorp A, Uguz I, Shinn T, Rodriguez GJ, Nealley C, Gonzales I, Roukes M, Knecht J, Yoshor D, Canoll P, Spinazzi E, Carloni LP, Pesaran B, Patel S, Youngerman B, Cotton RJ, Tolias A, Shepard KL |
| Jazyk: |
angličtina |
| Zdroj: |
BioRxiv : the preprint server for biology [bioRxiv] 2024 May 17. Date of Electronic Publication: 2024 May 17. |
| DOI: |
10.1101/2024.05.17.594333 |
| Abstrakt: |
Minimally invasive, high-bandwidth brain-computer-interface (BCI) devices can revolutionize human applications. With orders-of-magnitude improvements in volumetric efficiency over other BCI technologies, we developed a 50-μm-thick, mechanically flexible micro-electrocorticography (μECoG) BCI, integrating 256×256 electrodes, signal processing, data telemetry, and wireless powering on a single complementary metal-oxide-semiconductor (CMOS) substrate containing 65,536 recording and 16,384 stimulation channels, from which we can simultaneously record up to 1024 channels at a given time. Fully implanted below the dura, our chip is wirelessly powered, communicating bi-directionally with an external relay station outside the body. We demonstrated chronic, reliable recordings for up to two weeks in pigs and up to two months in behaving non-human primates from somatosensory, motor, and visual cortices, decoding brain signals at high spatiotemporal resolution. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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