CNL Publication Index: BibTeX
This database contains all the publications of Terrence J. Sejnowski starting in 1969.
Most of these publications can be downloaded in PDF format. They are made available for individual use only; contact the publisher and the author to receive permission for reproduction in any form.
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Found 7
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Found 4
Abstracts
Found
11 Total.
- 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. Sejnowski, T. J. Delay Differential Analysis of Time Series, Neural Computation, 27, 594-614, 2015 PMCID:PMC4374491 (PDF)
- Lainscsek, C. Hernandez, M. E. Weyhenmeyer, J. Sejnowski, T. J. Poizner, H. Non-linear dynamical analysis of EEG time series distinguishes patients with Parkinson's disease from healthy individuals, Frontiers in Neurology, 4, 200, 1-8, 2013 PMCID:PMC3858815 (PDF)
- Lainscsek, C. Weyhenmeyer, J. Hernandez, M. E. Poizner, H. Sejnowski, T. J. Non-linear dynamical classification of short time series of the Roessler system in high noise regimes, Frontiers in Neurology, 4, 182 1-12, 2013 PMCID:PMC3825183 (PDF)
- Cortes, J. M. Marinazzo, D. Series, P. Oram, M. W. Sejnowski, T. J. van Rossum, M. C. W. The effect of neural adaptation on population coding accuracy, Journal of Computational Neuroscience, 32, 387-402, 2012 PMCID:PMC3367001 (PDF)
- Prank, K. Kloppstech, M. Nowlan, S. J. Sejnowski, T. J. Brabant, G. Self-Organized Segmentation of Time Series: Separating Growth Hormone Secretion in Acromegaly from Normal Controls, Biophysical Journal, 70, 2540-2547, 1996 (PDF)
- Prank, K. Nowlan, S. J. Harms, H. M. Kloppstech, M. Brabant, G. Hesch, R. D. Sejnowski, T. J. Time Series Prediction of Plasma Hormone Concentration: Evidence for Differences in Predictability of Parathyroid Hormone Secretion Between Osteoporotic Patients and Normal Controls, Journal of Clinical Investigation, 25, 2910-2919, 1995 (PDF)
- Lainscsek, C. Hernandez, M.E. Weyhenmeyer, J. Sejnowski, T. J. Poizner, H. Non-linear Dynamical Analysis of EEG Time Series Distinguishes Patients with Parkinson's Disease From Healthy Individuals, Society for Neuroscience Abstracts, 2013 (PDF)
- Lainscsek, C. Hernandez, M.E. Weyhenmeyer, J. Poizner, H. Sejnowski,T.J. Non-linear Dynamical Classification of Short Time Series of the Rossler System in High Noise Regimes, Society for Neuroscience Abstracts, 2013 (PDF)
- Cortes, J. M. D. Marinazzo, D. Series, P. Oram, M.W. Sejnowski, T. J. and van Rossum, M.C.W. Neural adaptation reduces energy cost while preserving coding accuracy, 2010 (PDF)
- Prank, K. Riedel, M. von zur Mühlen, A. Nowlan, S. Sejnowski, T. J. Brabant, G. Time Series Prediction of Episodic Hormone Secretion Based On Neural Networks: a New Approach for Separating the Secretory Dynamics of Growth Hormone (GH) in Acromegaly from Normal Subjects, German Endocrine Society, 38, 1993