Computational Brain Science · Network Science · AI

Revealing the principles of brain function through computational theory.

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.

Digital brain — a luminous brain rendered as circuitry, with neural signal paths
Digital brain · network-level signal flow
Research · 04 pillars

What we investigate

Our work bridges biophysical simulation, information theory, and machine learning to describe brain state dynamics at multiple scales.

01  ·  Brain dynamics

Multiscale & multimodal brain dynamics models

Computational models that explain electrophysiology, neuroimaging, genetic, and behavioral data within a shared dynamical framework.

DCMLIFThalamo-cortical
02  ·  Plasticity

Biologically plausible plasticity for adaptive treatment

Plasticity models designed to inform personalized, adaptive brain-treatment schemes — modulating activity toward healthy attractors.

HomeostaticTMSControl
03  ·  NeuroImage ML

Machine learning on neural & behavioral data

Pipelines for reproducible NeuroImage analysis: connectivity estimation, state decoding, and behavioral prediction from EEG/fMRI.

EEGfMRIBehavior
04  ·  Information & AI

Information theory & novel AI for the brain

Energy-landscape analysis, pairwise maximum-entropy models, and new AI methods designed for interpreting neural systems.

Energy landscapepMEMQAOA
Publications · latest

Recent work

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2026

Advances in neurodegenerative disease diagnosis: from conventional techniques to soft nanomaterial-enabled electrochemical neural implants

D. Thirumalai, H. Son, D. Y. Kim, S. Choi, J. Kang*, H.-R. Lim*
TrAC Trends
Anal. Chem.
2025

Identification of CO-binding modes in the CuB site of bovine cytochrome c oxidase by spatial mapping of binding energy

J. Kang*, T. Matsuoka, M. Tateno
FEBS J.
2025
2024

Integration of Partially Observed Multimodal and Multiscale Neural Signals for Estimating a Neural Circuit Using Dynamic Causal Modeling

Jiyoung Kang, Hae-Jeong Park*
PLoS Comp Biol
e1012655
2024

Ensemble-based community detection for dynamic networks

Jiyoung Kang*
J. Korean
Phys. Soc.