User profiles for P. Sajda
 | Paul SajdaColumbia University Verified email at columbia.edu Cited by 11596 |
Machine learning for detection and diagnosis of disease
P Sajda - Annu. Rev. Biomed. Eng., 2006 - annualreviews.org
… Parra & Sajda (15) formulate the problem of BSS as one of solving a generalized eigenvalue
problem, where one of the matrices is the covariance matrix of the observations and the …
problem, where one of the matrices is the covariance matrix of the observations and the …
Recipes for the linear analysis of EEG
In this paper, we describe a simple set of “recipes” for the analysis of high spatial density EEG.
We focus on a linear integration of multiple channels for extracting individual components …
We focus on a linear integration of multiple channels for extracting individual components …
Neural representation of task difficulty and decision making during perceptual categorization: a timing diagram
… where P min and P max are the subject’s proportion correct at the lowest and highest phase
coherence levels, respectively, and P j is the subject’s behavioral performance at a given …
coherence levels, respectively, and P j is the subject’s behavioral performance at a given …
[HTML][HTML] Correlated components of ongoing EEG point to emotionally laden attention–a possible marker of engagement?
JP Dmochowski, P Sajda, J Dias… - Frontiers in human …, 2012 - frontiersin.org
Recent evidence from functional magnetic resonance imaging suggests that cortical hemodynamic
responses coincide in different subjects experiencing a common naturalistic stimulus. …
responses coincide in different subjects experiencing a common naturalistic stimulus. …
Temporal characterization of the neural correlates of perceptual decision making in the human brain
MG Philiastides, P Sajda - Cerebral cortex, 2006 - academic.oup.com
… If λ does not exceed the criterion value (for P = 0.05), we concluded that a single function fits
the two data sets as well as … The P-value in each panel represents the output of this test. A …
the two data sets as well as … The P-value in each panel represents the output of this test. A …
Quality of evidence for perceptual decision making is indexed by trial-to-trial variability of the EEG
…, MG Philiastides, P Sajda - Proceedings of the …, 2009 - National Acad Sciences
A fundamental feature of how we make decisions is that our responses are variable in the
choices we make and the time it takes to make them. This makes it impossible to determine, for …
choices we make and the time it takes to make them. This makes it impossible to determine, for …
Complete volumetric decomposition of individual trabecular plates and rods and its morphological correlations with anisotropic elastic moduli in human trabecular …
… Drs Guo, Sajda, and Liu are inventors of a pending patent derived from this work. All other
… After removing the P‐P junctions and the previously identified P‐R and R‐R junctions, …
… After removing the P‐P junctions and the previously identified P‐R and R‐R junctions, …
Inferring macroscale brain dynamics via fusion of simultaneous EEG-fMRI
Advances in the instrumentation and signal processing for simultaneously acquired
electroencephalography and functional magnetic resonance imaging (EEG-fMRI) have enabled new …
electroencephalography and functional magnetic resonance imaging (EEG-fMRI) have enabled new …
Cortically coupled computer vision for rapid image search
… Parra, and P. Sajda, “Cortical origins of response time variability during rapid discrimination
of visual … Sajda, “Recipes for the linear analysis of EEG,” NeuroImage, vol. 28, no. 2, pp. …
of visual … Sajda, “Recipes for the linear analysis of EEG,” NeuroImage, vol. 28, no. 2, pp. …
[PDF][PDF] Blind source separation via generalized eigenvalue decomposition
In this short note we highlight the fact that linear blind source separation can be formulated
as a generalized eigenvalue decomposition under the assumptions of non-Gaussian, non-…
as a generalized eigenvalue decomposition under the assumptions of non-Gaussian, non-…