Adam Charles, PhD
Post-doctoral training, Princeton Neuroscience Institute, 2015-2020
PhD, Electrical and Computer Engineering, Georgia Institute of Technology, 2015
ME, Electrical and Computer Engineering, The Cooper Union, 2009
BE, Electrical and Computer Engineering, The Cooper Union, 2009
A.S. Charles*, M. Park*, J.P. Weller, G.D. Horwitz, and J.W. Pillow. Dethroning the Fano Factor: a flexible, model-based approach to partitioning neural variability. Neural Computation 30(4):1012-1045 2018. *Joint first author.
A. Song*, A.S. Charles*, S.A. Koay, J.L. Gauthier, S.Y. Thiberge, J.W. Pillow, and D.W. Tank. Volumetric Two-Photon Imaging of Neurons Using Spectroscopy (vTwINS). Nature Methods 14(4):420-426, Apr. 2017. *Joint first author.
A.S. Charles, D. Yin, and C.J. Rozell. Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks. Journal of Machine Learning Research 18(7):1-37, Jan 2017.
A.S. Charles, A. Balavoine, and C.J. Rozell. Dynamic Filtering of Time-Varying Sparse Signals via l1 Minimization. IEEE Transactions of Signal Processing 2016, 64(21):5644-5656, November 2016.
A.S. Charles, P. Garrigues, and C.J. Rozell. A common network architecture efficiently implements a variety of sparsity-based inference problems, Neural Computation, 24(12):3317-3339, December 2012.