fNIRS
PulseAugur coverage of fNIRS — every cluster mentioning fNIRS across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
Non-invasive BCIs advance toward commercialization beyond EEG
Non-invasive Brain-Computer Interfaces (BCIs) are progressing towards commercial viability, moving beyond traditional electroencephalography (EEG) methods. Neuracle is at the forefront of this advancement, particularly …
-
fNIRS-based autism classification benchmarked for temporal generalization
A new research paper published on arXiv explores the challenges of using functional near-infrared spectroscopy (fNIRS) for autism spectrum disorder (ASD) classification. The study introduces a cross-time-window transfer…
-
New FRED system decodes imagined handwriting from EEG data
Researchers have developed FRED, a system designed to decode imagined handwriting from EEG and fNIRS data. The system utilizes a temporal network that processes complementary EEG frequency views to model motor sequences…
-
fNIRS brain signals guide robot reinforcement learning
Researchers have developed an offline approach to guide robot behavior using functional near-infrared spectroscopy (fNIRS) brain signals. This method integrates neural data into reinforcement learning algorithms, augmen…
-
EEGNet study reveals challenges in fNIRS-driven cognitive load classification
A new study published on arXiv evaluates the effectiveness of EEGNet for classifying cognitive load using fNIRS signals. The research systematically examined various parameters, including temporal segmentation, window l…
-
New framework uses EEG and fNIRS to detect depressive states
Researchers have developed a new framework for classifying depressive states using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) biological signals. This pilot study, involving eleven he…