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A.D. Gerson
Researcher at Columbia University
Publications - 14
Citations - 1587
A.D. Gerson is an academic researcher from Columbia University. The author has contributed to research in topics: Rapid serial visual presentation & Electroencephalography. The author has an hindex of 10, co-authored 14 publications receiving 1451 citations.
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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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Cortically coupled computer vision for rapid image search
TL;DR: The approach leverages the highly robust and invariant object recognition capabilities of the human visual system, using single-trial EEG analysis to efficiently detect neural signatures correlated with the recognition event.
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Response error correction-a demonstration of improved human-machine performance using real-time EEG monitoring
TL;DR: A brain-computer interface system which uses a set of adaptive linear preprocessing and classification algorithms for single-trial detection of error related negativity (ERN) and the detected ERN is used to correct subject errors.
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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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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.