| 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 | 244 | 2011 |
| 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 | 175 | 2017 |
| 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 | 124 | 2011 |
| 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 | 93 | 2022 |
| Dynamic Filtering of Time-Varying Sparse Signals viaMinimization AS Charles, A Balavoine, CJ Rozell IEEE Transactions on Signal Processing 64 (21), 5644-5656, 2016 | 87* | 2016 |
| 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 | 86 | 2021 |
| 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 | 63 | 2018 |
| Sparse-coding variational auto-encoders G Barello, AS Charles, JW Pillow BioRxiv, 399246, 2018 | 47* | 2018 |
| 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 | 45 | 2012 |
| Visualizing the phate of neural networks S Gigante, AS Charles, S Krishnaswamy, G Mishne Advances in neural information processing systems 32, 2019 | 39 | 2019 |
| Spectral Superresolution of Hyperspectral Imagery Using Reweighted Spatial Filtering AS Charles, CJ Rozell IEEE Geoscience and Remote Sensing Letters 11 (3), 602-606, 2013 | 37 | 2013 |
| 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 | 36 | 2011 |
| 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 | 35 | 2012 |
| Short-term memory capacity in networks via the restricted isometry property AS Charles, HL Yap, CJ Rozell Neural computation 26 (6), 1198-1235, 2014 | 32 | 2014 |
| Decomposed linear dynamical systems (dlds) for learning the latent components of neural dynamics N Mudrik, Y Chen, E Yezerets, CJ Rozell, AS Charles Journal of Machine Learning Research 25 (59), 1-44, 2024 | 31* | 2024 |
| Detecting and correcting false transients in calcium imaging JL Gauthier, SA Koay, EH Nieh, DW Tank, JW Pillow, AS Charles Nature Methods, 2022 | 30 | 2022 |
| Dynamic filtering of sparse signals using reweighted ℓ1 AS Charles, CJ Rozell 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 30 | 2013 |
| 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 (1), 441-464, 2020 | 26 | 2020 |
| Chronic brain functional ultrasound imaging in freely moving rodents performing cognitive tasks A El Hady, D Takahashi, R Sun, O Akinwale, T Boyd-Meredith, Y Zhang, ... Journal of neuroscience methods 403, 110033, 2024 | 24 | 2024 |
| Cross-modality supervised image restoration enables nanoscale tracking of synaptic plasticity in living mice YKT Xu, AR Graves, GI Coste, RL Huganir, DE Bergles, AS Charles, ... Nature Methods 20 (6), 935-944, 2023 | 23 | 2023 |
Christopher J. RozellGeorgia Institute of TechnologyVerified email at gatech.edu
