Towards Turnkey Brain-Computer Interfaces

Interactive graphs of the dielectric properties of body tissues

NYCU CSIC30014 Lab2: EEG Classification with EEGNet (87%+ accuracy, optimized hyperparameters, BCI Competition III dataset)

Based on OpenBCI_Processing, OpenBCI_GUI_v2.0 extends the GUI to include additional features, and will soon be usable with the Ganglion board.

A paper titled 'Prospects of brain-computer interfaces in communication for disabled children' submitted to the Waynflete Studies program.

PDPBioGen: A Personalized Disease Prediction via Biological Network Generation We're moving beyond generic medicine. This isn't just data analysis; it's generating a digital twin of your personal biology to predict and preempt disease.

A Virtual Keyboard controlled using Eye Blinks

Manipulus is a sovereign, 4-layer infrastructure stack for embodied intent. Pioneering a local-first, air-gapped protocol that bridges kinetic human movement to digital execution without the cloud. Building the future of private, non-verbal intelligence.

The InBrain Electronics Lab is based at Stevens Institute of Technology, affiliated with the Department of Biomedical Engineering. We are designing and developing minimally invasive, ultra-flexible, and highly biocompatible neural implants for recording and stimulation with respect to neurological conditions.

A framework to synthsize Brain data using AI models