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Prospective Learning: Back to the Future


Jan 19, 2022
Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal Burns, Kwame Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena Savonenko, Ian Phillips, Michael I. Miller, Rene Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish Thakor, Justus M Kebschull, Marilyn Albert, Jinchong Xu, Marshall Hussain Shuler, Brian Caffo, Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan, Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle Ungar, Leila Wehbe, Adam Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang


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Matrix-normal models for fMRI analysis


Nov 10, 2017
Michael Shvartsman, Narayanan Sundaram, Mikio C. Aoi, Adam Charles, Theodore C. Wilke, Jonathan D. Cohen


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Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks


Jan 27, 2017
Adam Charles, Dong Yin, Christopher Rozell

* Journal of Machine Learning Research, 18:1-37 Jan. 2017 
* 37 pages, 3 figures 

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Dynamic Filtering of Time-Varying Sparse Signals via l1 Minimization


Feb 22, 2016
Adam Charles, Aurele Balavoine, Christopher Rozell

* 26 pages, 8 figures. arXiv admin note: substantial text overlap with arXiv:1208.0325 

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