Non-Invasive BCI Digest

A DARPA Young Faculty Award gives USC engineer Yasser Khan ~$700k to build a multimodal patch that fuses miniaturized chemical sensors with...

Can EEG microstates help identify likely antipsychotic responders before treatment begins?

• Pilot data suggest microstate analysis could flag...

• CMS-NAS hybrid blocks combine CNN for local features, Mamba for long-range dependencies, and SNN for transients to handle EEG noise and...

SpectraXAI applies an interpretable frequency-aware deep learning model to resting-state EEG for assignment to four diagnostic categories including Alzheimer's, positioning frequency-domain transparency as a route to stronger clinical credibility.

Public alternatives to private Neuralink remain high-risk with limited direct ties to brain-interface progress.

• Quantum-Si (QSI): Research-tools...

Project OUM v0.1 develops a robotic arm controlled directly by classified human brainwaves sensed through EEG.

Bridge Neurotech's founder positions non-invasive ultrasound BCI as the solution for millions whose bodies no longer serve as a reliable mind-world...

Reliable four-class decoding remains challenging for fNIRS BCIs, with new work examining whether temporal and cepstral hemodynamic features can deliver more robust imaging-based interfaces.

High salaries up to 1.5 million yuan annually target FPGA, neural decoding, and commercialization experts as BCI shifts from prototypes to clinical...

Sabi's $50 million seed round shows investor enthusiasm for non-invasive consumer EEG, yet the company's ambitious thought-to-text claims face...

A proposed non-invasive EEG framework integrates multiscale signal processing, dynamic brain connectivity analysis, and nonlinear features via graph fusion to enable early disease detection.

Sabi’s commercialization plan rests on three pillars explicitly detailed in its funding announcement.

• Dataset scale: The Brain Foundation Model was...

Source-resolved EEG microstates expose a striking fronto-posterior imbalance in disorders of consciousness: right prefrontal microstate 3 dominates...

The state-detecting algorithm (SDA) provides automated functional-stage detection from EEG with minimal human intervention, directly targeting annotation and calibration burdens in BCI workflows.

A new hierarchical framework recasts neural decoding as cognitive inference constrained by brain-intrinsic priors such as cortical geometric...

Focusing on relative pitch relations instead of exact frequencies enabled reconstruction of imagined melody contours from brain activity. Yet the...

• $5M round led by Odyssey Ventures accelerates product launch, partner adoption and US expansion for specialized neural chips
• Core advantage: Chips...

Immersive VR produces the strongest sensorimotor engagement during AO+MI, outperforming 2D video and real-world robotic observation with greater alpha...

Bridge Neurotech launched with a clear vision: a fully non-invasive BCI using ultrasound to image brain activity, bypassing surgery and body...

SQ_EMoE routes high-confidence trials to subject-specific experts and uncertain ones to a general expert, delivering mean ROC-AUC of 0.86–0.89 on two...