nueroscience

Chords is a web application that transforms your Arduino board into a powerful bio-potential signal acquisition tool, allowing you to visualize and record ECG, EMG, EOG, and EEG data directly in your browser.

Here, we have developed a user-friendly graphical interface toolbox named NaDyNet (Naturalistic Dynamic Network Toolbox), which integrates existing dynamic brain network analysis methods.

EEG-to-video generation pipeline using a Transformer EEG encoder, CLIP alignment, ViT Seq2Seq latent prediction, DANA noise scheduling, and Stable Diffusion UNet fine-tuning.

Chords is a web application that transforms your Arduino board into a powerful bio-potential signal acquisition tool, allowing you to visualize and record ECG, EMG, EOG, and EEG data directly in your browser.

Official Python SDK for the TQNN Fault-Tolerant Inference Platform.

Simproprioception : A proof-of-concept BCI pipeline that decodes EEG motor imagery signals and translates them into robotic arm commands, proposing neuroimaging data as a scalable alternative to the expert demonstration bottleneck in robot learning

Chords is a web application that transforms your Arduino board into a powerful bio-potential signal acquisition tool, allowing you to visualize and record ECG, EMG, EOG, and EEG data directly in your browser.

Natural Language Processing knowledge graph tool that mines PubMed abstracts and ClinicalTrials.gov studies on 6 neurodegenerative diseases, extracts typed entity relationships using spaCy, and renders an interactive graph dashboard via Streamlit. Built independently as a high school research project.

Research-grade multimodal deep learning framework for Frontotemporal Dementia (FTD) prediction using MRI, Graph Neural Networks, Masked Autoencoders, Swin Transformers, and Longitudinal Transformer modeling.