About
HINEC Lab
Founded at Yonsei University, HINEC pioneers higher-order neural connectivity analysis. We develop computational tools that reveal brain organization invisible to traditional pairwise methods.
Decoding the Brain Beyond Pairwise Connections
Traditional neuroscience analyzes brain connectivity as pairwise links between regions. But the brain operates through higher-order interactions: synergistic assemblies where three, four, or more regions encode information collectively.
HINEC develops the mathematical frameworks, computational tools, and machine learning architectures needed to detect, quantify, and decode these higher-order neural interactions at scale.
A Future Where Brain Topology Guides Medicine
We envision a future where topological biomarkers from higher-order connectivity analysis become standard clinical tools for diagnosing and monitoring neurological disorders.
Our Values
Rigor
Every claim is backed by rigorous statistical testing, reproducible code, and open datasets. We hold ourselves to the highest scientific standards.
Impact
Our work aims to improve human lives. From clinical biomarkers to BCI technology, we translate theory into tools that matter.
Openness
We believe in open science. Our code, data, and methods are publicly available. Collaboration accelerates discovery.
Innovation
We challenge the paradigm of pairwise connectivity. Higher-order interactions demand new mathematics, new algorithms, new thinking.
The Team
Dr. Sehun Chun
Leading expert in topological data analysis and computational neuroscience. PhD in Applied Mathematics from MIT. Pioneer of persistent homology applications in brain connectivity.
Woosung Choi
Specialist in information theory and neural coding. Developed the O-information pipeline for higher-order interaction detection. Expert in synergy-redundancy decomposition.
Taehyun Han
Creator of the DSSNN architecture for brain state classification. Expert in geometric deep learning on simplicial complexes and hypergraphs.
Miras Koilybay
Specialist in GPU-accelerated computing and hypergraph signal processing. Built the HINEC-OI toolkit achieving 400x speedup over CPU implementations.
Lab Analytics
Interactive visualizations of our growth and impact. Hover for details.
Milestones
Nature Neuroscience Publication
Topological phase transitions paper accepted. Identified 5 critical lifespan stages in brain connectivity.
NeurIPS Best Paper Honorable Mention
DSSNN architecture receives recognition for SOTA brain state classification results.
HINEC-OI v2.0 Released
Open-source toolkit achieves 400x GPU speedup. Downloaded by 200+ research labs worldwide.
NIH R01 Grant Awarded
$2.4M grant for clinical translation of topological biomarkers in Alzheimer's disease.
Science Publication
Synergistic neural assemblies paper published, establishing higher-order interactions as primary substrate of cognition.
HINEC Lab Founded
Lab established at Yonsei University with 4 founding members and seed funding from NRF Korea.