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Adam Charles

Affiliations: 
2020- BME Johns Hopkins University, Baltimore, MD 
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"Adam Charles"
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Parents

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Christopher J. Rozell grad student 2010-2015 Georgia Tech
Jonathan W. Pillow post-doc 2015- Princeton

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Publications

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Charles AS, Park M, Weller JP, et al. (2018) Dethroning the Fano Factor: A Flexible, Model-Based Approach to Partitioning Neural Variability. Neural Computation. 1-34
Song A, Charles AS, Koay SA, et al. (2017) Volumetric two-photon imaging of neurons using stereoscopy (vTwINS). Nature Methods
Charles AS, Yap HL, Rozell CJ. (2014) Short-term memory capacity in networks via the restricted isometry property. Neural Computation. 26: 1198-235
Charles AS, Yin D, Rozell CJ. (2014) Can random linear networks store multiple long input streams? 2014 Ieee Global Conference On Signal and Information Processing, Globalsip 2014. 379-383
Charles AS, Rozell CJ. (2014) Convergence of basis pursuit de-noising with dynamic filtering 2014 Ieee Global Conference On Signal and Information Processing, Globalsip 2014. 374-378
Charles AS, Rozell CJ. (2013) Dynamic filtering of sparse signals using reweighted ℓ1 Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 6451-6455
Charles AS, Garrigues P, Rozell CJ. (2012) A common network architecture efficiently implements a variety of sparsity-based inference problems. Neural Computation. 24: 3317-39
Yap HL, Charles AS, Rozell CJ. (2012) The restricted isometry property for Echo state networks with applications to sequence memory capacity 2012 Ieee Statistical Signal Processing Workshop, Ssp 2012. 580-583
Shapero S, Charles AS, Rozell CJ, et al. (2012) Low power sparse approximation on reconfigurable analog hardware Ieee Journal On Emerging and Selected Topics in Circuits and Systems. 2: 530-541
Charles AS, Olshausen BA, Rozell CJ. (2011) Learning sparse codes for hyperspectral imagery Ieee Journal On Selected Topics in Signal Processing. 5: 963-978
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