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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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Journal ArticleDOI
In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision
Paul Sajda,Eric A. Pohlmeyer,Jun Wang,Lucas C. Parra,Christoforos Christoforou,Jacek P. Dmochowski,Barbara Hanna,Claus Bahlmann,Maneesh Singh,Shih-Fu Chang +9 more
TL;DR: The efforts in developing brain-computer interfaces (BCIs) which synergistically integrate computer vision and human vision so as to construct a system for image triage are described and two architectures for this type of cortically coupled computer vision are described.
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Spatiotemporal Linear Decoding of Brain State
Lucas C. Parra,Christoforos Christoforou,A.D. Gerson,Mads Dyrholm,An Luo,Mark J. Wagner,Marios G. Philiastides,Paul Sajda +7 more
TL;DR: This review summarizes linear spatiotemporal signal analysis methods that derive their power from careful consideration of spatial and temporal features of skull surface potentials from signal processing and machine learning.
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Intermediate-level visual representations and the construction of surface perception
Paul Sajda,Leif H. Finkel +1 more
TL;DR: A network-based model of intermediate-level vision that focuses on how surfaces might be represented in visual cortex is presented and a mechanism for representing surfaces through the establishment of ownership and a selective binding of contours and regions is proposed.
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A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces
TL;DR: Three datasets were used to conduct an open competition for evaluating the performance of various machine-learning algorithms used in brain-computer interfaces for tasks that included detecting explicit left/right (L/R) button press.
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Simultaneous EEG-fMRI Reveals Temporal Evolution of Coupling between Supramodal Cortical Attention Networks and the Brainstem
Jennifer M. Walz,Robin I. Goldman,Robin I. Goldman,Michael Carapezza,Jordan Muraskin,Truman R. Brown,Paul Sajda +6 more
TL;DR: The results support the adaptive gain theory of locus ceruleus–norepinephrine (LC–NE) function and the proposed functional relationship between the LC–NE system, right-hemisphere ventral attention network, and P300 EEG response.