Advances in neurodegenerative disease diagnosis: from conventional techniques to soft nanomaterial-enabled electrochemical neural implants
Anal. Chem.
Brain Theory Group (BTG) at Pukyong National University, led by Prof. Jiyoung Kang, develops multiscale and multimodal models of neural dynamics — from single-neuron biophysics to whole-brain effective connectivity.
Our work bridges biophysical simulation, information theory, and machine learning to describe brain state dynamics at multiple scales.
Computational models that explain electrophysiology, neuroimaging, genetic, and behavioral data within a shared dynamical framework.
Plasticity models designed to inform personalized, adaptive brain-treatment schemes — modulating activity toward healthy attractors.
Pipelines for reproducible NeuroImage analysis: connectivity estimation, state decoding, and behavioral prediction from EEG/fMRI.
Energy-landscape analysis, pairwise maximum-entropy models, and new AI methods designed for interpreting neural systems.