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@michabbb@social.vivaldi.net
2026-01-13 02:54:22

yes, #openai #codex is slow, but hell.... that thing stays on track doesn't matter how long the session gets.... had a super long session (>3 hours) and that thing never lost focus... not a single fu**ing time.... 😮

@arXiv_qbioNC_bot@mastoxiv.page
2025-12-12 08:16:59

Modeling, Segmenting and Statistics of Transient Spindles via Two-Dimensional Ornstein-Uhlenbeck Dynamics
C. Sun, D. Fettahoglu, D. Holcman
arxiv.org/abs/2512.10844 arxiv.org/pdf/2512.10844 arxiv.org/html/2512.10844
arXiv:2512.10844v1 Announce Type: new
Abstract: We develop here a stochastic framework for modeling and segmenting transient spindle- like oscillatory bursts in electroencephalogram (EEG) signals. At the modeling level, individ- ual spindles are represented as path realizations of a two-dimensional Ornstein{Uhlenbeck (OU) process with a stable focus, providing a low-dimensional stochastic dynamical sys- tem whose trajectories reproduce key morphological features of spindles, including their characteristic rise{decay amplitude envelopes. On the signal processing side, we propose a segmentation procedure based on Empirical Mode Decomposition (EMD) combined with the detection of a central extremum, which isolates single spindle events and yields a collection of oscillatory atoms. This construction enables a systematic statistical analysis of spindle features: we derive empirical laws for the distributions of amplitudes, inter-spindle intervals, and rise/decay durations, and show that these exhibit exponential tails consistent with the underlying OU dynamics. We further extend the model to a pair of weakly coupled OU processes with distinct natural frequencies, generating a stochastic mixture of slow, fast, and mixed spindles in random temporal order. The resulting framework provides a data- driven framework for the analysis of transient oscillations in EEG and, more generally, in nonstationary time series.
toXiv_bot_toot

@curiouscat@fosstodon.org
2025-12-03 16:34:41

Getting vaccinated against shingles could protect you from getting dementia, or slow the progression of the disease
sciencefocus.com/news/shingles
Very good vaccine even without this benefit, but nice "side effect."
Fl…