Lab — American
MIT — Neural engineering & neurotechnology ecosystem
Official site → Cambridge, MA, USA
MIT’s BCI footprint is best understood as an enabling-technology powerhouse: rather than being dominated by one flagship clinical intracortical BCI program, MIT produces a dense set of labs pushing core layers BCIs depend on — interfaces (materials/devices), sensing + stimulation/modulation modalities, and decoding/analysis infrastructure — plus training programs explicitly aimed at neurotechnology.
Ecosystem hub / training
Center for Neurobiological Engineering (CNBE)
- About: https://web.mit.edu/cnbe/about.html
- Training: https://web.mit.edu/cnbe/training.html
- Sharing/dissemination: https://web.mit.edu/cnbe/sharing.html
CNBE is a clean justification for “MIT as a BCI school” even when individual labs aren’t branded as “BCI labs”: it is explicitly built to accelerate neurotechnology creation, adoption, and training.
Featured labs (starting set)
Polina Anikeeva — Bioelectronics Group (interfaces + minimally invasive modulation)
- Faculty page: https://dmse.mit.edu/people/faculty/polina-anikeeva/
Representative sources:
- Multifunctional Neural Probes Enable Bidirectional Electrical … PubMed: https://pubmed.ncbi.nlm.nih.gov/39506430/
- Next-generation interfaces for studying neural function. PubMed: https://pubmed.ncbi.nlm.nih.gov/31406326/
Ed Boyden — neurotechnology tools (measurement/control primitives)
- McGovern profile: https://mcgovern.mit.edu/profile/ed-boyden/
Deblina Sarkar — soft/flexible bioelectronics and biohybrid device paradigms
Picower Institute — neurotechnology toolbox layer (sensors, recording, imaging, analysis)
- Neurotechnology page: https://picower.mit.edu/research/neurotechnology
Translation-relevant neurotech (example)
- MIT News (implant concept coverage): https://news.mit.edu/2025/new-therapeutic-brain-implants-defy-surgery-need-1105