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:
- neural decoding (including MEG-based speech/phoneme decoding work),
- clinical neurotech + neuromodulation / brain mapping, and
- interface biology / biomaterials.
Featured groups (starting set)
1) UF Neurology iBRAIN Lab — noninvasive speech/BCI decoding (MEG + deep learning)
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
3) Computational NeuroEngineering Laboratory (CNEL) — BMI signal processing & brain interfacing
4) Schmidt Lab (Christine Schmidt) — biomaterials for regeneration and neural interfacing
- Lab: 08
Evidence of structured neural engineering training
Clean claims you can make (with sources)
Source index
References, research and institutional reports.