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Anup Das 0004

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affiliation: Salk Institute for Biological Studies, Computational Neurobiology Laboratory, La Jolla, CA, USA
affiliation (PhD 2018): University of California at San Diego, Department of Electrical and Computer Engineering, La Jolla, CA, USA

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2018
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Anup Das:
The Importance of Latent Inputs for Analyzing the Human Brain. University of California, San Diego, USA, 2018

Journal Articles

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2020
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Anup Das, Sydney S. Cash, Terrence J. Sejnowski:
Heterogeneity of Preictal Dynamics in Human Epileptic Seizures. IEEE Access 8: 52738-52748 (2020)
2019
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Anup Das, Daniel Sexton, Claudia Lainscsek, Sydney S. Cash, Terrence J. Sejnowski:
Characterizing Brain Connectivity From Human Electrocorticography Recordings With Unobserved Inputs During Epileptic Seizures. Neural Comput. 31(7): 1271-1326 (2019)
2017
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Anup Das:
Theoretical and Experimental Comparison of Off-Grid Sparse Bayesian Direction-of-Arrival Estimation Algorithms. IEEE Access 5: 18075-18087 (2017)
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Anup Das, Aaron L. Sampson, Claudia Lainscsek, Lyle Muller, Wutu Lin, John C. Doyle, Sydney S. Cash, Eric Halgren, Terrence J. Sejnowski:
Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings. Neural Comput. 29(3): 603-642 (2017)
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Tiger W. Lin, Anup Das, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski:
Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings. Neural Comput. 29(10): 2581-2632 (2017)

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