| Sparse coding via thresholding and local competition in neural circuits CJ Rozell, DH Johnson, RG Baraniuk, BA Olshausen Neural computation 20 (10), 2526-2563, 2008 | 562 | 2008 |
| All-optical nanoscale pH meter SW Bishnoi, CJ Rozell, CS Levin, MK Gheith, BR Johnson, DH Johnson, ... Nano letters 6 (8), 1687-1692, 2006 | 409 | 2006 |
| 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 | 242 | 2011 |
| 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 | 119 | 2011 |
| Visual nonclassical receptive field effects emerge from sparse coding in a dynamical system M Zhu, CJ Rozell PLoS computational biology 9 (8), e1003191, 2013 | 117 | 2013 |
| Cingulate dynamics track depression recovery with deep brain stimulation S Alagapan, KS Choi, S Heisig, P Riva-Posse, A Crowell, V Tiruvadi, ... Nature 622 (7981), 130-138, 2023 | 106 | 2023 |
| Convergence and Rate Analysis of Neural Networks for Sparse Approximation A Balavoine, J Romberg, CJ Rozell IEEE Transactions on Neural Networks and Learning Systems 23 (9), 1377-1389, 2012 | 90 | 2012 |
| The restricted isometry property for random block diagonal matrices A Eftekhari, HL Yap, CJ Rozell, MB Wakin Applied and Computational Harmonic Analysis 38 (1), 1-31, 2015 | 87 | 2015 |
| Generative causal explanations of black-box classifiers M O'Shaughnessy, G Canal, M Connor, C Rozell, M Davenport Advances in neural information processing systems 33, 5453-5467, 2020 | 86 | 2020 |
| Hierarchical optimal transport for multimodal distribution alignment J Lee, M Dabagia, E Dyer, C Rozell Advances in neural information processing systems 32, 2019 | 74 | 2019 |
| Dynamic Filtering of Time-Varying Sparse Signals viaMinimization AS Charles, A Balavoine, CJ Rozell IEEE Transactions on Signal Processing 64 (21), 5644-5656, 2016 | 70 | 2016 |
| Concentration of Measure for Block Diagonal Matrices with Applications to Compressive Signal Processing JY Park, HL Yap, C Rozell, M Wakin IEEE Transactions on Signal Processing 59 (12), 5859-5875, 2011 | 67 | 2011 |
| Optimal sparse approximation with integrate and fire neurons S Shapero, M Zhu, J Hasler, C Rozell International journal of neural systems 24 (05), 1440001, 2014 | 66 | 2014 |
| Matched filtering for heart rate estimation on compressive sensing ECG measurements G Da Poian, CJ Rozell, R Bernardini, R Rinaldo, GD Clifford IEEE Transactions on Biomedical Engineering 65 (6), 1349-1358, 2017 | 63 | 2017 |
| Locally competitive algorithms for sparse approximation C Rozell, D Johnson, R Baraniuk, B Olshausen 2007 IEEE International Conference on Image Processing 4, IV-169-IV-172, 2007 | 62 | 2007 |
| What governs attitudes toward artificial intelligence adoption and governance? MR O’Shaughnessy, DS Schiff, LR Varshney, CJ Rozell, MA Davenport Science and Public Policy 50 (2), 161-176, 2023 | 57 | 2023 |
| Design strategies for dynamic closed-loop optogenetic neurocontrol in vivo MF Bolus, AA Willats, CJ Whitmire, CJ Rozell, GB Stanley Journal of neural engineering 15 (2), 026011, 2018 | 56 | 2018 |
| Variational autoencoder with learned latent structure M Connor, G Canal, C Rozell International conference on artificial intelligence and statistics, 2359-2367, 2021 | 55 | 2021 |
| Sub-second dynamics of theta-gamma coupling in hippocampal CA1 L Zhang, J Lee, C Rozell, AC Singer Elife 8, e44320, 2019 | 48 | 2019 |
| Analyzing the robustness of redundant population codes in sensory and feature extraction systems CJ Rozell, DH Johnson Neurocomputing 69 (10-12), 1215-1218, 2006 | 47 | 2006 |
Adam CharlesJohns Hopkins University, Department of Biomedical EngineeringВерификована је имејл адреса на jhu.edu
