CNL Alumni
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Aaron Sampson: Graduate Student
Latest Publications
- Knickrehm, J. Kim, R. Lainscsek, C. Sampson, A. L. Gur, R. C. Gur, R. E. The Cogs Investigators, Sejnowski, T. J. LIGHT, G. A. Machine learning approaches to characterize neurophysiological and cognitive measures predictive of schizophrenia diagnosis, Society for Neuroscience Abstracts, 2019
- Sampson, A. L. Lainscsek, C. Gonzalez, C.E. Ulbert, I. Devinsky, O. Fabo, D. Madsen, J. R. Halgren, E. Cash S. S. Sejnowski, T. J. Delay differential analysis for dynamical sleep spindle detection, Journal of Neuroscience Methods, 316, 12-21, 2019 (PDF)
- Lainscsek, C. Sampson, A.L. Kim, R. Thomas, M.L. Man, K. Lainscsek, X. COGS Investigators Swerdlow, N.R. Braff, D.L. Sejnowski, T. J. Light, G.A. Nonlinear dynamics underlying sensory processing dysfunction in schizophrenia, Proc Natl Acad Sci U S A., 116(9), 3847-3852, 2019 (PDF)
- Lainscsek, C. Muller , L. E. Sampson, A. L. Sejnowski, T. J. Analytical Derivation of Nonlinear Spectral Effects and 1/f Scaling Artifact in Signal Processing of Real-World Data., Neural Computation, 29(7), 2004-2020, 2017 (PDF)
- Das, A. Sampson, A.L. Lainscsek, C. Muller, L. Lin, W, Doyle, J.C. Cash, S.S. Halgren E, Sejnowski, T.J. Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings, Neural Computation, 29(3), 603-642, 2017 (PDF)
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