CNL Alumni
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Xenia Lainscsek: Intern
Latest Publications
- Lainscsek, C. Mendes, E.M.A.M. Salgado, G.H.O. Sejnowski, T. J. Transformations that preserve the uniqueness of the differential form for Lorenz-like systems, Chaos, 33(10): 103122, 2023 (PDF)
- Lainscsek, C., Salami, P., Carvalho, V. R., Mendes, E.M.A.M., Fan, M., Cash, S.S., Sejnowski, T.J. Network-motif delay differential analysis of brain activity during seizures, Chaos, 33 (12), 123136, 2023 (PDF)
- Lainscsek, C. Cash, S. S. Sejnowski, T. J. Kurths, J. Dynamical ergodicity DDA reveals causal structure in time series, Chaos, 31, 103108, 2021 (PDF)
- Lainscsek, C., Rungratsameetaweemana, N., Cash, S. S., Sejnowski, T. J. Cortical chimera states predict epileptic seizures, Chaos, 29, 121106, 2019 (PDF)
- 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
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