Falling asleep is often harder than staying asleep. You can be exhausted and still lie awake, stuck in that half-alert state where your body is ready for rest but your brain won’t quite settle. A lot ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

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

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 ...

In a deal that surprised some industry observers, chipmaker Qualcomm has agreed to buy Arduino, which is best known for supplying microcontrollers to the DIY community. The acquisition, whose terms ...

@article{zini2026alzheimer, title={Alzheimer’s disease classification from EEG using a multiscale temporal deep network}, author={Zini, Simone and Barbera, Thomas and Bianco, Simone and Napoletano, ...

Paul and David Bradt’s Ardiono Projects offers multiple ways to use Arduino and Raspberry Pi microcontrollers for your model railroading projects. Buy the book here. Code for Button/Blink Test (SN095) ...

A new brainwave test could detect early signs of Alzheimer’s years before diagnosis — in just three minutes. That’s according to researchers at the University of Bath and the University of Bristol, ...

Electroencephalogram (EEG) signal analysis plays a vital role in diagnosing and monitoring alcoholism, where accurate classification of individuals into alcoholic and control groups is essential.

EEG samples are converted into spike trains using NeuCube. The spatio-temporal spiking patterns are encoded across a 3D SNN reservoir. The resulting spike outputs are stored in out_neucube_open.h5.