This study presents a valuable contribution by introducing a model-based, Bayesian method for inferring action potentials from calcium imaging data that directly quantifies uncertainty in spike timing ...
Univariate: ARIMA, ARCH/GARCH, Stochastic Volatility, HP/Hamilton/BN/BK/Boosted HP filters, X-13ARIMA-SEATS seasonal adjustment, Spectral Analysis, ACF/PACF/CCF ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Metal–organic frameworks (MOFs) are utilized as nanocarriers to enhance the efficiency ...
There are growing concerns about commonly inflated effect sizes in small neuroimaging studies, yet no study has addressed recalibrating effect size estimates for small samples. To tackle this issue, ...
Abstract: This article presents a new Human-steerable Topic Modeling (HSTM) technique. Unlike existing techniques commonly relying on matrix decomposition-based topic models, we extend LDA as the ...
aDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA bDepartment of Medicine, University of Minnesota School of Medicine, Minneapolis, MN, USA ...
Predicting stable polymorphs of molecular crystals remains one of the grand challenges of computational science. Current methods invoke approximations to electronic structure and statistical mechanics ...
If you’ve ever called on Siri or Alexa for help, or generated a self-portrait in the style of a Renaissance painter, you have interacted with deep learning, a form of artificial intelligence that ...
Fish are harvested nonrandomly, potentially inducing selection pressures and adaptations of phenotypes that could impede sustainable natural resource management. To assess the potential for ...
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