ABSTRACT Functional near-infrared spectroscopy (fNIRS) is a promising technique for non-invasively assessing cortical brain activity during learning. This technique is safe, portable, and, compared to
ABSTRACT Functional near-infrared spectroscopy (fNIRS) is a promising technique for non-invasively assessing cortical brain activity during learning. This technique is safe, portable, and, compared to
NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis. Abstract Significance: Functional near-infrared spectroscopy (fNIRS) has been widely used to probe human
Load-Dependent Relationships between Frontal fNIRS Activity and Performance: A Data-Driven PLS Approach. Abstract Neuroimaging research frequently demonstrates load-dependent activation in prefrontal and parietal cortex during
ABSTRACT Significance: Functional near-infrared spectroscopy (fNIRS) has been widely used to probe human brain function during task state and resting state. However, the existing analysis
Decoding Three Different Preference Levels of Consumers Using Convolutional Neural Network: A Functional Near-Infrared Spectroscopy Study. Abstract This study decodes consumers’ preference levels using a
Tracking Brain Development from Neonates to the Elderly by Hemoglobin Phase Measurement using Functional Near-infrared Spectroscopy. Abstract The biological and neurological processes during the lifespan
ABSTRACT This study decodes consumers’ preference levels using a convolutional neural network (CNN) in neuromarketing. The classification accuracy in neuromarketing is a critical factor in
Validating the use of functional Near Infrared Spectroscopy in monkeys: The case of brain activation lateralization in Papio Anubis. Abstract Hemispheric asymmetries have long been
Individual Differences in Hemodynamic Responses Measured on the Head Due to a Long-Term Stimulation Involving Colored Light Exposure and a Cognitive Task: A SPA-fNIRS Study.
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