These Hearing Aids Will Tune in to Your Brain

Imagine you’re at a bustling dinner party filled with laughter, music, and clinking silverware. You’re trying to follow a ...
IEEE

Deep Learning Approaches for EEG-Based Biometrics: A Systematic Review

Abstract: Biometics such as fingerprint, face, and iris are vulnerable to spoof attacks. The unique characteristics of Electroencephalography (EEG) make it a promising biometric modality especially ...
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.
European Medical Journal

AI Improves Early Dementia Identification with EEG

AI powered analysis of routine EEG scans is now distinguishing Alzheimer’s disease from frontotemporal dementia while also ...
TMCnet

Cumulus Neuroscience Publishes Data Validating a Scalable Measurement of Neuroplasticity Using Low-Burden Dry Sensor EEG

Neuroplasticity is the brain's ability to reorganize its structure, functions, and connections in response to experience, injury, or disease. It allows the brain to change and adapt, for example, by ...
Gadget Review on MSN

Apple patents brain-reading earbuds for neural monitoring

Apple patents brain-reading AirPods with EEG sensors to detect seizures and monitor neural health, raising concerns about ...
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 ...
IEEE

Deep Learning for EEG-Based Visual Classification and Reconstruction: Panorama, Trends, Challenges and Opportunities

Abstract: Deep learning has significantly enhanced the research on the emerging issue of Electroencephalogram (EEG)-based visual classification and reconstruction, which has gained a growth of ...
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 ...