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institution

Bioengineering Center

Russia

48 papers here638 citations across 48
fields
  • eess.IV6
  • cs.CV4
  • q-bio.QM4
  • physics.flu-dyn3
  • q-bio.NC3
  • q-bio.PE3
  • cond-mat.soft2
  • cs.AI2
ROR 04f0ydx59OpenAlex

affiliations via OpenAlex

output
20032026
most citedMaking brain-machine interfaces robust to future neural variability

231 citations

researchers with a paper here
  • A. Ozcan2 profiles3 · h 85
  • D. Di Carlo2 · h 67
  • Dongsuk Jang2 · h 2
  • Xilin Yang2 · h 18
  • A. Coelho1 · h 10
  • Adam S. Wang1 · h 25
  • A. Farimani1 · h 43
  • A. Fyrdahl1 · h 7
  • A. Goun1 · h 7
  • A. Lazaric1 · h 43
  • Aldo Pacchiano1 · h 25
  • Alexey Kroshnin1 · h 1
collaborating institutions
  • Stanford UniversityUS11 papers
  • University of California, Los AngelesUS5 papers
  • California NanoSystems InstituteUS4 papers
  • Carnegie Mellon UniversityUS2 papers
  • Centre National de la Recherche ScientifiqueFR2 papers
  • Cornell UniversityUS2 papers
  • Harvard UniversityUS2 papers
  • Howard Hughes Medical InstituteUS2 papers
  • Massachusetts General HospitalUS2 papers
  • Neurosciences InstituteUS2 papers
  • Rice UniversityUS2 papers
  • Seoul National UniversityKR2 papers
Showing 2016 · q-bio.NCShow all

1 paper · 2 filters

q-bio.NC2016★ 231 cited

Making brain-machine interfaces robust to future neural variability

David Sussillo, Sergey D. Stavisky, Jonathan C. Kao +2

A major hurdle to clinical translation of brain-machine interfaces (BMIs) is that current decoders, which are trained from a small quantity of recent data, become ineffective when…

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