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 ...

Second, while separate graph representations can be derived from a single-channel EEG signal in both time and frequency domains, existing GNN models for epilepsy detection can learn from a single ...

Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran Introduction: Can we apply graph representation learning algorithms to identify autism spectrum ...

This paper shows that clustering graphical representations of the signal and utilising CNN FE with transfer learning produces the highest v-measure score 0.814 but at a cost of 6s in time. Small UASs ...

Using signal detection theory, Kessler Foundation researchers furthered their understanding of the mechanisms of cognitive fatigue in a recent neuroimaging study comparing participants with ...

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.