Seuraa
Adam Charles
Adam Charles
Johns Hopkins University, Department of Biomedical Engineering
Vahvistettu sähköpostiosoite verkkotunnuksessa jhu.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Learning sparse codes for hyperspectral imagery
AS Charles, BA Olshausen, CJ Rozell
IEEE Journal of Selected Topics in Signal Processing 5 (5), 963-978, 2011
2382011
Volumetric two-photon imaging of neurons using stereoscopy (vTwINS)
A Song, AS Charles, SA Koay, JL Gauthier, SY Thiberge, JW Pillow, ...
Nature Methods 14 (4), 420–426, 2017
1412017
Sparsity penalties in dynamical system estimation
A Charles, MS Asif, J Romberg, C Rozell
2011 45th annual conference on information sciences and systems, 1-6, 2011
1132011
Dynamic Filtering of Time-Varying Sparse Signals viaMinimization
AS Charles, A Balavoine, CJ Rozell
IEEE Transactions on Signal Processing 64 (21), 5644-5656, 2016
72*2016
Sequential and efficient neural-population coding of complex task information
SA Koay, AS Charles, SY Thiberge, CD Brody, DW Tank
Neuron 110 (2), 328-349. e11, 2022
522022
Neural anatomy and optical microscopy (NAOMi) simulation for evaluating calcium imaging methods
A Song, JL Gauthier, JW Pillow, DW Tank, AS Charles
Journal of neuroscience methods 358, 109173, 2021
502021
Dethroning the fano factor: a flexible, model-based approach to partitioning neural variability
AS Charles, M Park, JP Weller, GD Horwitz, JW Pillow
Neural computation 30 (4), 1012-1045, 2018
452018
Low power sparse approximation on reconfigurable analog hardware
S Shapero, AS Charles, CJ Rozell, P Hasler
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2 (3 …, 2012
412012
Spectral Superresolution of Hyperspectral Imagery Using Reweighted Spatial Filtering
AS Charles, CJ Rozell
IEEE Geoscience and Remote Sensing Letters 11 (3), 602-606, 2013
342013
Estimation and dynamic updating of time-varying signals with sparse variations
MS Asif, A Charles, J Romberg, C Rozell
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
312011
Short-term memory capacity in networks via the restricted isometry property
AS Charles, HL Yap, CJ Rozell
Neural computation 26 (6), 1198-1235, 2014
302014
Dynamic filtering of sparse signals using reweighted ℓ1
AS Charles, CJ Rozell
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
292013
A common network architecture efficiently implements a variety of sparsity-based inference problems
AS Charles, P Garrigues, CJ Rozell
Neural computation 24 (12), 3317-3339, 2012
292012
Visualizing the phate of neural networks
S Gigante, AS Charles, S Krishnaswamy, G Mishne
Advances in neural information processing systems 32, 2019
232019
Matrix-normal models for fMRI analysis
M Shvartsman, N Sundaram, M Aoi, A Charles, T Willke, J Cohen
International conference on artificial intelligence and statistics, 1914-1923, 2018
182018
Detecting and correcting false transients in calcium imaging
JL Gauthier, SA Koay, EH Nieh, DW Tank, JW Pillow, AS Charles
Nature Methods, 2022
172022
Toward community-driven big open brain science: open big data and tools for structure, function, and genetics
AS Charles, B Falk, N Turner, TD Pereira, D Tward, BD Pedigo, J Chung, ...
Annual review of neuroscience 43, 441-464, 2020
172020
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks
AS Charles, D Yin, CJ Rozell
Journal of Machine Learning Research 18 (7), 1-37, 2017
172017
Learning spatially-correlated temporal dictionaries for calcium imaging
G Mishne, AS Charles
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
132019
Sparse-coding variational auto-encoders
G Barello, AS Charles, JW Pillow
BioRxiv, 399246, 2018
132018
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Artikkelit 1–20