Deep Learning with Yacine on MSN

Detecting consciousness with machine learning and EEG signals in Scikit-Learn

Explore how machine learning, EEG data, and high-performance computing can help detect signs of consciousness.
EurekAlert!

Attention detection using EEG signals and machine learning: A review

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...
eLife

From Syllables to Words: EEG Evidence of Different Age Trajectories in Speech Tracking and Statistical Learning in Infants at High and Low Likelihood for Autism

Delayed onset of canonical babbling and first words is often reported in infants later diagnosed with autism spectrum disorder (ASD). Identifying the neural mechanisms underlying language acquisition ...
BioWorld

Encephalogix reveals machine learning for EEG analysis

The first patenting from Encephalogix Inc. details its development of platform that uses machine learning and AI to analyze EEG data that is typically ignored.
Helsinki

TOWARD NEUROSCIENCE OF FLOW

NeuroFlow project will establish a pioneering possibility to investigate brain in action during music and dance performances as well during learning. EEG and other biosignal recordings will be ...
The Conversation

A century after the EEG was discovered, it remains a crucial tool for understanding the brain

Giridhar Kalamangalam does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations ...