Abstract: EEG emotion recognition is crucial in both human-machine interaction and healthcare. However, recognizing emotions across different subjects remains challenging due to individual variability ...
Abstract: This article investigated the automatic recognition of felt and musically communicated emotions using electroencephalogram (EEG), electrocardiogram (ECG), and acoustic signals, which were ...
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 ...
If the username/login of your computer account has spaces and/or weird symbols, YOU MUST create a new user with a simpler name (no spaces, no symbols). Login with ...
Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
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 ...
4 keys to writing modern Python Here’s what you need to know (and do) if you want to write Python like it’s 2025, not 2005. How to use uv, the super-fast Python package installer Last but not least, ...
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; ...
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