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  1. Decoding Multiple Sound-Categories in the Auditory Cortex by Neural Networks: An fNIRS Study.So-Hyeon Yoo, Hendrik Santosa, Chang-Seok Kim & Keum-Shik Hong - 2021 - Frontiers in Human Neuroscience 15.
    This study aims to decode the hemodynamic responses evoked by multiple sound-categories using functional near-infrared spectroscopy. The six different sounds were given as stimuli. The oxy-hemoglobin concentration changes are measured in both hemispheres of the auditory cortex while 18 healthy subjects listen to 10-s blocks of six sound-categories. Long short-term memory networks were used as a classifier. The classification accuracy was 20.38 ± 4.63% with six class classification. Though LSTM networks’ performance was a little higher than chance levels, it is (...)
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  • Prefrontal Cortex Activation During Motor Sequence Learning Under Interleaved and Repetitive Practice: A Two-Channel Near-Infrared Spectroscopy Study.Maarten A. Immink, Monique Pointon, David L. Wright & Frank E. Marino - 2021 - Frontiers in Human Neuroscience 15.
    Training under high interference conditions through interleaved practice results in performance suppression during training but enhances long-term performance relative to repetitive practice involving low interference. Previous neuroimaging work addressing this contextual interference effect of motor learning has relied heavily on the blood-oxygen-level-dependent response using functional magnetic resonance imaging methodology resulting in mixed reports of prefrontal cortex recruitment under IP and RP conditions. We sought to clarify these equivocal findings by imaging bilateral PFC recruitment using functional near-infrared spectroscopy while discrete key (...)
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