Lab — American
University of Florida — Neural engineering & BCI ecosystem
Official site → Gainesville, FL, USA
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)
- Lab: https://neurology.ufl.edu/ibrain-lab/
- BCI page: https://neurology.ufl.edu/ibrain-lab/research-2/bci/
One representative paper in this thread:
- Dash D, et al. Decoding imagined and spoken phrases from non-invasive MEG signals. Front Neurosci. 2020. https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2020.00290/full
2) Brain Mapping Laboratory (Aysegul Gunduz) — human brain mapping, decoding, and neuromodulation
- Lab publications: https://brainmappinglab.org/publications/
- UF profile: https://bme.ufl.edu/people/faculty/name/aysegul-gunduz/
3) Computational NeuroEngineering Laboratory (CNEL) — BMI signal processing & brain interfacing
- Lab: https://www.cnel.ufl.edu/
- UF ECE lab tours entry (CNEL mention): https://www.ece.ufl.edu/admissions/graduate/lab-tours/
4) Schmidt Lab (Christine Schmidt) — biomaterials for regeneration and neural interfacing
Evidence of structured neural engineering training
- UF BME home: https://bme.ufl.edu/
- Neural engineering course syllabus (example): https://bme.ufl.edu/wp-content/uploads/sites/69/2025/11/Spring-2024_BME-6360-Neural-Engineering-Syllabus.pdf
Clean claims you can make (with sources)
- UF Neurology publicly describes BCI work aimed at synthesizing speech from neural activity using MEG and deep learning. https://neurology.ufl.edu/ibrain-lab/research-2/bci/
- UF BME explicitly organizes Neural Engineering as a faculty/research area. https://bme.ufl.edu/people/faculty/cat/primary-faculty/neural-engineering/