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Paul Sajda
Researcher at Columbia University
Publications - 261
Citations - 9050
Paul Sajda is an academic researcher from Columbia University. The author has contributed to research in topics: Electroencephalography & EEG-fMRI. The author has an hindex of 45, co-authored 243 publications receiving 8015 citations. Previous affiliations of Paul Sajda include United States Army Research Laboratory & Sarnoff Corporation.
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Recipes for the linear analysis of EEG.
TL;DR: This paper describes a simple set of "recipes" for the analysis of high spatial density EEG, and demonstrates how corresponding algorithms can be used to remove eye-motion artifacts, extract strong evoked responses, and decompose temporally overlapping components.
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Neural representation of task difficulty and decision making during perceptual categorization: a timing diagram.
TL;DR: Using a cued paradigm, single-trial analysis of electroencephalography is used to identify a component in the EEG that reflects the inherent task difficulty and not simply a correlation with the stimulus.
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Temporal Characterization of the Neural Correlates of Perceptual Decision Making in the Human Brain
TL;DR: The first non-invasive neural measurements of perceptual decision making, via single-trial EEG analysis, that lead to neurometric functions predictive of psychophysical performance for a face versus car categorization task are reported.
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Machine Learning for Detection and Diagnosis of Disease
TL;DR: The review describes recent developments in machine learning, focusing on supervised and unsupervised linear methods and Bayesian inference, which have made significant impacts in the detection and diagnosis of disease in biomedicine.
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Quality of evidence for perceptual decision making is indexed by trial-to-trial variability of the EEG
TL;DR: It is shown that a single-trial EEG neurophysiological measure for nominally identical stimuli can be used to sort behavioral response times and choices into those that index the quality of decision-relevant evidence.