BCI Atlas Lab brief North America

University of Florida — Neural engineering & BCI ecosystem

UF has an ecosystem-level footprint in neural engineering spanning noninvasive decoding (MEG), neuromodulation/brain mapping, and interface biology/biomaterials, with structured training inside UF BME.

The University of Florida (UF) has an ecosystem-level footprint in BCI/neurotechnology spanning:

  1. neural decoding (including MEG-based speech/phoneme decoding work),
  2. clinical neurotech + neuromodulation / brain mapping, and
  3. interface biology / biomaterials.

1) UF Neurology iBRAIN Lab — noninvasive speech/BCI decoding (MEG + deep learning)

  • Lab: 01
  • BCI page: 02

One representative paper in this thread:

  • Dash D, et al. Decoding imagined and spoken phrases from non-invasive MEG signals. Front Neurosci. 2020. 03

2) Brain Mapping Laboratory (Aysegul Gunduz) — human brain mapping, decoding, and neuromodulation

  • Lab publications: 04
  • UF profile: 05

3) Computational NeuroEngineering Laboratory (CNEL) — BMI signal processing & brain interfacing

  • Lab: 06
  • UF ECE lab tours entry (CNEL mention): 07

4) Schmidt Lab (Christine Schmidt) — biomaterials for regeneration and neural interfacing

Evidence of structured neural engineering training

  • UF BME home: 09
  • Neural engineering course syllabus (example): 10

Clean claims you can make (with sources)

  1. UF Neurology publicly describes BCI work aimed at synthesizing speech from neural activity using MEG and deep learning. 02
  2. UF BME explicitly organizes Neural Engineering as a faculty/research area. 11

Source index

References, research and institutional reports.

  1. neurology.ufl.edu Reference

    Lab
  2. neurology.ufl.edu Reference

    BCI page
  3. brainmappinglab.org Reference

    Lab publications
  4. bme.ufl.edu Reference

    UF profile
  5. cnel.ufl.edu Reference

    Lab
  6. faculty.eng.ufl.edu Reference

    Lab
  7. bme.ufl.edu Reference

    UF BME home