WiFi-based pose estimation models exhibit severe performance degradation when deployed in environments different from their training setting. A model trained in Room A with a specific transceiver ...

Neural activity data can be associated with behavioral and physiological variables by analyzing their changes in the temporal domain. However, such relationships are often difficult to quantify and ...

Journal of Nuclear Medicine June 2024, jnumed.124.267434; DOI: https://doi.org/10.2967/jnumed.124.267434 These aggregative approaches raise an interesting question ...

This study explores the efficacy of various EEG complexity measures in detecting mind wandering during video-based learning. Employing a modified probe-caught method, we recorded EEG data from ...

State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, and Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian ...

As gliomas proliferate, they infiltrate healthy brain tissue. Often, patients with such tumors in the language areas of the brain develop aphasia. Understanding how gliomas interact with normal neural ...

Objective: Assessing brain connectivity from electrophysiological signals is of great relevance in neuroscience, but results are still debated and depend crucially on how connectivity is defined and ...

The analysis of neural systems leverages tools from many different fields. Drawing on techniques from the study of critical phenomena in statistical mechanics, several studies have reported signatures ...

"In this notebook, we will see how to efficiently combine machine learning and topological data analysis with the Gudhi library and its [representations](https ...