3 papers
nlin.CD2026
Learning a quantitative criterion for distinguishing chaos from noise
Jaesung Choi, Athokpam Langlen Chanu, Jong-Min Park
Distinguishing chaos from noise using time-series data is fundamentally challenging because both exhibit irregular fluctuations and share many statistical and dynamical characteris…
nlin.CD2026
Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks
Jaesung Choi
Machine learning of Hamiltonian dynamics has driven growing interest in Hamiltonian neural networks (HNNs), which encode Hamilton's equations of motion into the learning architectu…
q-bio.NC2026
Human brain state classification via permutation entropy of EEG phase dynamics across consciousness levels and inattentive-type ADHD
Athokpam Langlen Chanu, Youngjai Park, Jaesung Choi +4
We analyze electroencephalography (EEG) signals using the ordinal pattern framework to investigate whether different human brain states can be distinguished based on the disorder o…