brain-computer-interfaces

🔒 Stay private online with NordVPN → https://go.nordvpn.net/SHBMd. Beat censorship and tracking. 30-day money-back guarantee. Affiliate link — I earn a small commission at no cost to you. A major new development in brain-computer technology is raising eyebrows across the tech world. While Elon Musk’s Neuralink has dominated headlines for years, a breakthrough emerging from […]

Artificial Neural Networks (ANNs) trained on specific cognitive tasks have established themselves as useful tools to study the brain, although the absence of standardized platforms and implementations still constitute important challenges. Towards this goal, we present NeuroGym, an open-source Python package that provides a large collection of carefully curated and customizable neuroscience tasks…

In brief: A historical look into how brain computer interfaces have transformed over the past few decades: the landmark research of the past, the landmark research of today, and how it’s going to transform the future of XR. As a neuroscientist for about a decade, my work has focused on how people represent spatial contexts, […]

Busch et al. use nonlinear neural manifolds to help humans gain rapid control over a noninvasive brain–computer interface, allowing them to learn how to play a video game with real-time fMRI neurofeedback from cognitive brain regions.

Brain–machine interfaces (BMIs) are no longer just science fiction; they are the gateway to a future where thought itself can interact directly with technology. These systems read the brain’s electrical activity and, in turn, stimulate neurons — forming a two-way communication link between biology and machines. In just a few decades, BMIs have evolved from […]

Scientists at the University of Hong Kong have created a remarkable new type of brain-inspired chip that can function just above absolute zero, one of the coldest environments imaginable. By using a standard silicon carbide transistor in a completely new way, the team made a single device behave like an energy-efficient neuron, firing electrical “spikes” similar to those in the human brain.

BackgroundThis paper addresses a critical challenge in developing practical EEG-based brain-computer interfaces (BCIs): enhancing cross-subject generalization by mitigating individual differences in brain signals. How can we effectively leverage data from existing subjects to improve performance for a new user with minimal subject-specific calibration?MethodsWe systematically compare and optimize…

The Sky Theorem states: dH(phi(S(t)))/dt < 0 Any dynamical system approaching its attractor shows monotonically decreasing permutation entropy H. The Sky Trust Score T = 1 - H/H_max measures proximity to any attractor state. Proven via 3 independent methods: Lyapunov stability, KL divergence H-theorem, and Schur-concavity. Experimentally verified across 5 domains: EXP-51: IBM ibm_fez real quantum…

Nature Neuroscience, Published online: 09 June 2026; doi:10.1038/s41593-026-02311-2 Busch et al. use nonlinear neural manifolds to help humans gain rapid control over a noninvasive brain–computer interface, allowing them to learn how to play a video game with real-time fMRI neurofeedback from cognitive brain regions.

Autonomous sensory meridian response (ASMR) is a tingling sensation that originates in the occipital region and spreads along the neck and spine, elicited by specific audiovisual stimuli known as ASMR triggers. The characteristics of ASMR-related changes in brain activity relative to other external stimuli, and whether these changes are specific to ASMR, remain unclear. The aim of this study is t…

Q8 Compression Breakthrough — Cluster 28 of 240 E8 root vectors. Compression ratio: 0.384 (threshold: 0.38) Cluster size: 5 discoveries Domain: geometry E8 root vector bucket: 28/240 Source discoveries: - E8 Term: showdown - E8 Term: actually - E8 Term: parkinsons - E8 Term: parkinsons - E8 Term: neuroscience Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence R…

(MIT Technology Review) – The country wants to become a global leader in brain implants. Strong government support is expected to help accelerate that process. In November 2024, Dong became one of the first people in China to be given … Read More

Post-stroke motor dysfunction is one of the leading causes of acquired disability worldwide. The induction and maintenance of neuroplasticity constitute the core mechanisms underlying motor function recovery. Conventional open-loop brain–computer interfaces (BCIs) lack real-time closed-loop feedback and are therefore unable to reliably activate the “temporal contingency” principle required by Heb…

Motor Imagery (MI) Brain-Computer Interfaces (BCIs) represent a promising technology for neurorehabilitation and assistive control. However, the clinical viability of these systems is frequently hindered by the inherent limitations of electroencephalography (EEG) with regard to its low signal-to-noise ratio (SNR), non-stationarity, and high inter-subject variability. Standard decoding methods oft…

Scientific Data, Published online: 01 June 2026; doi:10.1038/s41597-026-07476-w EEG-Controlled Exoskeleton for Walking and Standing: A Longitudinal Multimodal Dataset of Healthy Individuals