Authors: Philippe G. Schyns, Gregor Thut, Joachim Gross
DOI: 10.1371/journal.pbio.1001064
Abstract Summary
Researchers discovered how brain waves encode information during facial emotion recognition tasks. Analyzing EEG data, they found that the phase of neural oscillations carries 2.4 times more task-relevant information than power. The combination of phase and power codes specific visual features that predict behavior, while different frequencies multiplex information—similar to radio channels—increasing the brain’s coding capacity.
Why Brain? 🧠
Brain wave phase patterns encode 2.4 times more task-relevant information than amplitude, with different frequencies multiplexing visual features to boost cognitive processing capacity during emotion recognition.
The image is AI-generated for illustrative purposes only. Courtesy of Midjourney.
