Summary: A precision neuro-engineering and computational intelligence breakthrough successfully engineered an artificial intelligence platform to decode and objectify human pain. The research ...

Highlights of Python 3.15, now available in beta, include lazy imports, faster JITs, better error messages, and smarter profiling. The first full beta of Python 3.15 ...

(A) Overall structure of the model. MLP, multilayer perceptron. (B) Structure of the time encoder module. (C) Structure of the channel encoder module. BN, batch normalization. “Domain bias caused by ...

The FDA cleared an electroencephalography (EEG) system based on a small sensor worn in the ear, allowing patients to be monitored outside of hospital settings, Naox Technologies in Paris, announced on ...

Dr Andrei Alexandrov discusses his experience implementing point-of-care EEG equipped with artificial intelligence. As neurologists, our responsibility goes beyond interpreting electroencephalograms ...

Summary: New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia with high accuracy. By analyzing both the timing and frequency of ...

Tim Wu’s “The Age of Extraction” is a dispiriting guide to the way Silicon Valley has warped our markets and our democracy. By Jennifer Szalai When you purchase an independently reviewed book through ...

This project characterizes high-frequency (64–256 Hz) electromyographic (EMG) components embedded in scalp EEG during focal-to-bilateral tonic–clonic seizures (FBTCS). The aim is to determine whether ...

Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI methods face two ...

An important but unresolved question in deep learning for EEG decoding is which features neural networks learn to solve the task. Prior interpretability studies have mainly explained individual ...