Decoding the Mind
for Humanity
& Discovery
HINEC is a world-leading neuroscience research institute advancing our understanding of the human brain through innovative technologies and groundbreaking discoveries.
We are driven by the pursuit of understanding — a future where neurological disorders are treatable and the mysteries of consciousness are unlocked.
Neural Signal Accuracy
Synaptic Mapping
Processing Speed
BCI Efficiency
Understanding
the Human Mind
We hold the capacity and responsibility to transform neuroscience for the betterment of humanity. We advance cognitive understanding through innovation and discovery.
High-Order Integrated
Neural Connections
Our computational platform models the brain as simplicial complexes and hypergraphs, capturing synergistic neural assemblies invisible to traditional pairwise connectivity analysis.
Simplicial Complex Mapping
Model brain connectivity as high-dimensional simplicial complexes, capturing synergistic interactions beyond pairwise edges.
O-Information Quantification
Distinguish synergy-dominated from redundancy-dominated neural assemblies using information-theoretic metrics on GPU-accelerated pipelines.
Hypergraph Signal Processing
Tensor-based hypergraph analysis enabling multi-region co-fluctuation detection across entire cortical networks in real time.
Directed Semi-Simplicial Networks
State-of-the-art deep learning architectures that decode brain activity by processing directed high-order motifs up to tetrahedrons.
Latest Research
Topological Turning Points in Lifespan Brain Connectivity Reveal Five Critical Transition Stages
S. Chun, W. Choi, T. Han, M. Koilybay et al.
Synergistic Neural Assemblies in Frontoparietal Networks Encode Higher-Order Cognitive States
W. Choi, S. Chun, M. Koilybay
Directed Semi-Simplicial Neural Networks for Brain State Classification from EEG Signals
T. Han, M. Koilybay, S. Chun
Hypergraph Signal Processing Reveals Multi-Region Co-Fluctuation Patterns in Resting-State fMRI
M. Koilybay, T. Han, W. Choi, S. Chun
O-Information Quantification at Scale: GPU-Accelerated Higher-Order Interaction Detection in Whole-Brain Connectomes
S. Chun, W. Choi, T. Han
Global Constraints Oriented Multi-Resolution Learning of Brain Structure from Raw Neural Recordings
W. Choi, M. Koilybay, S. Chun
Advance the
Frontier of Mind
Your contribution directly accelerates breakthroughs in understanding consciousness, treating neurological disorders, and building the next generation of brain-computer interfaces.
Synapse
TIER 1Support foundational research operations and student fellowships.
Cortex
TIER 2Fund a specific research initiative or equipment acquisition.
Connectome
TIER 3Sponsor a full research project with named recognition.