BCI Atlas Lab brief North America

University of Pennsylvania — BCI & neurotechnology ecosystem

Penn is a full-stack BCI ecosystem spanning clinic-facing implantable systems, decoding/methods, and biohybrid interface biology (including ‘living electrode’ concepts).

The University of Pennsylvania (Penn / UPenn) is one of the stronger “full-stack” BCI ecosystems in the U.S., with credible depth across:

  • implantable / clinical-facing brain–machine interface (BMI) work (neurosurgery + neurology + engineering),
  • neural decoding + machine learning (methods that generalize beyond a single dataset), and
  • interface biology + biohybrid constructs (the “living electrode” direction).

A useful way to map Penn is: (1) clinical neuroengineering & implantable systems, (2) decoding/methods, (3) tissue-engineered interfaces.

1) Richardson Lab (Neurosurgery) — clinic-facing brain–machine interfaces

  • Lab site: 01
  • Research page: 02

Penn’s neurosurgery-facing BMI work matters because it is forced to care about the practical constraints that dominate translation (implants, materials, workflow, and long-term function).

2) Pesaran Lab — brain–machine interfaces and motor-system signals

  • Penn Medicine BMI page: 03
  • Lab site: 04

3) Penn Center for Neuroengineering and Therapeutics (CNT) + Litt Lab — translational neuroengineering

  • Penn Neurology “Translational Centers of Excellence” page (mentions CNT): 05
  • Litt Lab: 06

CNT/Litt is a Penn signature: device + data + clinical workflow under one umbrella.

4) Kording Lab — decoding and ML methods (BCI-enabling infrastructure)

A lot of usable BCI progress is methods progress: robustness, generalization, calibration reduction, and evaluation.

5) Cullen Lab — biohybrid interfaces and “living electrodes”

Penn’s “interface biology” thread is a real differentiator. One representative, directly relevant paper on engineered axonal tracts as “living electrodes”:

  • Serruya MD, et al. Engineered Axonal Tracts as “Living Electrodes” for Synaptic-Based Modulation of Neural Circuitry. PubMed: 09

Clean claims you can make (with sources)

  1. Penn has multiple labs explicitly describing brain–machine interface / BCI research aims (e.g., Richardson, Pesaran).
  2. Penn has an institutional translation push via CNT, bridging Perelman School of Medicine and Penn Engineering. 05
  3. Penn has a serious biohybrid / living electrode thread targeting chronic interface biology constraints. 09

Source index

References, research and institutional reports.

  1. med.upenn.edu Reference

    Lab site
  2. med.upenn.edu Reference

    Research page
  3. med.upenn.edu Reference

    Penn Medicine BMI page
  4. pesaranlab.org Reference

    Lab site
  5. littlab.seas.upenn.edu Reference

    Litt Lab
  6. kordinglab.com Reference

    Lab
  7. med.upenn.edu Reference

    Lab