Keywords: recognition memory, decisional processes, event-related potentials, signal detection theory, model-free approach. Citation: Schneider S, Coll SY, Schnider A and Ptak R (2024) ...

Signal representation theory is a field that is concerned with the representation of real-world phenomena—language, image, sound—through ideas and structures in pure mathematics. Signal ...

Recently, the combination of graph representations and graph neural network (GNN) models has been increasingly applied to single-channel epilepsy detection. By this methodology, the raw EEG signal is ...

Small UASs can travel at speeds of 45 mph so timely detection is essential in many use cases. A decrease in 0.2 v-measure score using PSD graphical image representations of the RF signal and PCA ...

These findings were reported in Frontiers in Behavioral Neuroscience on March 16, 2022, in the open access article "Signal Detection Theory as a Novel Tool to Understand Cognitive Fatigue in ...

East Hanover, NJ. May 31, 2022. Using signal detection theory, Kessler Foundation researchers furthered their understanding of the mechanisms of cognitive fatigue in a recent neuroimaging study ...

East Hanover, NJ. April 1, 2021. A team of New Jersey researchers has shown that changes in perceptual certainty and response bias, two central metrics of signal detection theory (SDT), correlate ...

A team of New Jersey researchers has shown that changes in perceptual certainty and response bias, two central metrics of signal detection theory (SDT), correlate with changes in cognitive fatigue.