| A million variables and more: the fast greedy equivalence search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic … J Ramsey, M Glymour, R Sanchez-Romero, C Glymour International journal of data science and analytics 3, 121-129, 2017 | 338 | 2017 |
| Advancing functional connectivity research from association to causation AT Reid, DB Headley, RD Mill, R Sanchez-Romero, LQ Uddin, ... Nature neuroscience 22 (11), 1751-1760, 2019 | 254 | 2019 |
| Causal discovery from heterogeneous/nonstationary data B Huang, K Zhang, J Zhang, J Ramsey, R Sanchez-Romero, C Glymour, ... Journal of Machine Learning Research 21 (89), 1-53, 2020 | 184 | 2020 |
| The functional relevance of task-state functional connectivity MW Cole, T Ito, C Cocuzza, R Sanchez-Romero Journal of Neuroscience 41 (12), 2684-2702, 2021 | 85 | 2021 |
| Tetrad—a toolbox for causal discovery JD Ramsey, K Zhang, M Glymour, RS Romero, B Huang, I Ebert-Uphoff, ... 8th international workshop on climate informatics, 1-4, 2018 | 77 | 2018 |
| Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods R Sanchez-Romero, JD Ramsey, K Zhang, MRK Glymour, B Huang, ... Network Neuroscience 3 (2), 274-306, 2019 | 70 | 2019 |
| Non-Gaussian methods and high-pass filters in the estimation of effective connections JD Ramsey, R Sanchez-Romero, C Glymour Neuroimage 84, 986-1006, 2014 | 62 | 2014 |
| Combining multiple functional connectivity methods to improve causal inferences R Sanchez-Romero, MW Cole Journal of cognitive neuroscience 33 (2), 180-194, 2021 | 44 | 2021 |
| Behind distribution shift: Mining driving forces of changes and causal arrows B Huang, K Zhang, J Zhang, R Sanchez-Romero, C Glymour, B Schölkopf 2017 IEEE International Conference on Data Mining (ICDM), 913-918, 2017 | 33 | 2017 |
| Diagnosis of autism spectrum disorder by causal influence strength learned from resting-state fMRI data B Huang Neural engineering techniques for autism spectrum disorder, 237-267, 2021 | 19 | 2021 |
| Causal discovery of feedback networks with functional magnetic resonance imaging R Sanchez-Romero, JD Ramsey, K Zhang, MRK Glymour, B Huang, ... bioRxiv, 245936, 2018 | 12 | 2018 |
| Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations R Sanchez-Romero, T Ito, RD Mill, SJ Hanson, MW Cole NeuroImage 278, 120300, 2023 | 7 | 2023 |
| Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees B Andrews, J Ramsey, R Sanchez Romero, J Camchong, E Kummerfeld Advances in Neural Information Processing Systems 36, 2023 | 4 | 2023 |
| Distributed network flows generate localized category selectivity in human visual cortex CV Cocuzza, R Sanchez-Romero, T Ito, RD Mill, BP Keane, MW Cole | 4 | 2022 |
| Identification of effective connectivity subregions R Sanchez-Romero, JD Ramsey, K Zhang, C Glymour arXiv preprint arXiv:1908.03264, 2019 | 3 | 2019 |
| Regularized partial correlation provides reliable functional connectivity estimates while correcting for widespread confounding KL Peterson, R Sanchez-Romero, RD Mill, MW Cole bioRxiv, 2023.09. 16.558065, 2023 | 2 | 2023 |
| Protocol for activity flow mapping of neurocognitive computations using the Brain Activity Flow Toolbox CV Cocuzza, R Sanchez-Romero, MW Cole STAR protocols 3 (1), 101094, 2022 | 1 | 2022 |
| Helmholtz’s vision: Underdetermination, behavior and the brain C Glymour, R Sanchez-Romero The Routledge Handbook of the Computational Mind, 237-246, 2018 | 1 | 2018 |
| Functionality of arousal-regulating brain circuitry at rest predicts human cognitive abilities E Podvalny, R Sanchez-Romero, MW Cole bioRxiv, 2024 | | 2024 |
| OPEN ACCESS EDITED AND REVIEWED BY MO Heller, YK Jan, YK Jan, CF Lin, F Liao, NB Singh, YK Jan¹, CF Lin, ... Nonlinear Dynamics and Complex Patterns in the Human Musculoskeletal System …, 2024 | | 2024 |
Joseph RamseyCarnegie Mellon Universityכתובת אימייל מאומתת בדומיין andrew.cmu.edu
