By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...
This article explores how international tax laws and tariff shocks can together demotivate affiliates of a multinational enterprise (MNE) from pursuing operational excellence and continuous ...
Start your journey into machine learning with EEG time-series data in this easy-to-follow Python project. Perfect for beginners looking to explore brain signal analysis! #MachineLearning #EEG ...
Abstract: This paper introduces MNE-RT, a Python package designed for real-time neural feature extraction from magne-toencephalography (MEG) and electroencephalography (EEG) signals in Brain-Computer ...
I have developed an EEG MCP (Model Context Protocol) Server that integrates MNE-Python for EEG data processing and uses LLMs (Large Language Models) to enable intelligent EEG-based interactions. The ...
Introduction: Anxiety and depression reduce autonomic system activity, as measured by Heart Rate Variability (HRV), and exacerbate cardiac morbidity. Both music and mindfulness have been shown to ...
Electroencephalogram (EEG) is a method used to measure and visualize spontaneous electrical activity within the brain. Electrical impulses are the main form of signaling found within the brain; ...
We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...
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