Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...
The University of Michigan Health has completed the first in-human surgery using a long-term wireless brain computer ...
Neuromorphic computing is a computational paradigm that mimics the way the brain functions in terms of both architecture and ...
Chinese researchers unveil a smart brain chip that maps brain structures in real time, surpassing Nvidia A100.
The global neurotechnology market is witnessing robust growth, driven by increasing demand for innovative solutions to diagnose, monitor, and treat neurological disorders. Advances in brain-computer ...
DelveInsight's Neurotechnology Market Insights report provides the current and forecast market analysis, individual leading ...
Based on a recent medtech analyst report, this slideshow highlights more than nine companies developing brain-computer ...
Single neurons in mouse sensorimotor cortex are organized by their activity features into distinct subpopulations with area-spanning footprints whose boundaries align closely with anatomical and ...
IIMCNet: Intra- and Inter-Modality Correlation Network for Hybrid EEG-fNIRS Brain-Computer Interface
Abstract: Hybrid Brain-Computer Interface (BCI) enhances accuracy and reliability by leveraging the complementary information provided by multi-modality signal fusion. EEG-fNIRS, a fusion of ...
Rather than having distinct departments for blindness, paralysis and sensory disorders, scientists are developing a unified ...
5dOpinion
In BCI, Safety Is A Design Decision
A BCI that works once but becomes harder to tolerate over time is not a mature system; it is an unfinished one.
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