Fascinating phenomena such as landmark vector cells and splitter cells are frequently discovered in the hippocampus. Without a unifying principle, each experiment seemingly uncovers new anomalies or ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

The exponential accumulation of digital data is expected to outstrip magnetic and optical storage media. DNA’s significantly higher information density combined with the availability of technology for ...

Pipeline-based market regime detection using Hidden Markov Models for quantitative finance. Hidden Regime is a Python package for detecting and analyzing market regimes using Hidden Markov Models ...

NETTER-1 (1), and the more recent clinical trials TheraP (2) and VISION (3), established somatostatin receptor (SSTR)– and prostate-specific membrane antigen (PSMA)–directed small-ligand ...

This study aims to explore the future development path of the college health education and health education's impact on students' sports exercise. Specifically, artificial intelligence (AI) algorithm ...

† Department of Chemical Physics, Weizmann Institute of Science, Rehovot 76100, Israel ‡ Department of Chemistry and the Ilse Katz Institute for Nanoscale Science and Technology, Ben-Gurion University ...

The activity of ensembles of simultaneously recorded neurons can be represented as a set of points in the space of firing rates. Even though the dimension of this space is equal to the ensemble size, ...