| Morphometric similarity networks detect microscale cortical organization and predict inter-individual cognitive variation J Seidlitz, F Váša, M Shinn, R Romero-Garcia, KJ Whitaker, PE Vértes, ... Neuron 97 (1), 231-247. e7, 2018 | 416 | 2018 |
| Generative modeling of brain maps with spatial autocorrelation JB Burt, M Helmer, M Shinn, A Anticevic, JD Murray NeuroImage 220, 117038, 2020 | 344 | 2020 |
| Adolescent tuning of association cortex in human structural brain networks F Váša, J Seidlitz, R Romero-Garcia, KJ Whitaker, G Rosenthal, PE Vértes, ... Cerebral Cortex 28 (1), 281-294, 2018 | 279 | 2018 |
| Structural covariance networks are coupled to expression of genes enriched in supragranular layers of the human cortex R Romero-Garcia, KJ Whitaker, F Váša, J Seidlitz, M Shinn, P Fonagy, ... Neuroimage 171, 256-267, 2018 | 193 | 2018 |
| A transcriptomic axis predicts state modulation of cortical interneurons S Bugeon, J Duffield, M Dipoppa, A Ritoux, I Prankerd, ... Nature 607 (7918), 330-338, 2022 | 149 | 2022 |
| A flexible framework for simulating and fitting generalized drift-diffusion models M Shinn, NH Lam, JD Murray Elife 9, e56938, 2020 | 119 | 2020 |
| Phasic burst stimulation: a closed-loop approach to tuning deep brain stimulation parameters for parkinson’s disease AB Holt, D Wilson, M Shinn, J Moehlis, TI Netoff PLoS computational biology 12 (7), e1005011, 2016 | 107 | 2016 |
| Functional brain networks reflect spatial and temporal autocorrelation M Shinn, A Hu, L Turner, S Noble, KH Preller, JL Ji, F Moujaes, S Achard, ... Nature neuroscience 26 (5), 867-878, 2023 | 68* | 2023 |
| Phantom oscillations in principal component analysis M Shinn Proceedings of the National Academy of Sciences 120 (48), e2311420120, 2023 | 38 | 2023 |
| Verification of Recurrent Neural Networks for Cognitive Tasks via Reachability Analysis H Zhang12, M Shinn, A Gupta, A Gurfinkel, N Le, N Narodytska | 34 | 2020 |
| Versatility of nodal affiliation to communities M Shinn, R Romero-Garcia, J Seidlitz, F Váša, PE Vértes, E Bullmore Scientific reports 7 (1), 4273, 2017 | 26 | 2017 |
| Mean-field equations for neuronal networks with arbitrary degree distributions DQ Nykamp, D Friedman, S Shaker, M Shinn, M Vella, A Compte, A Roxin Physical Review E 95 (4), 042323, 2017 | 22 | 2017 |
| Confluence of timing and reward biases in perceptual decision-making dynamics M Shinn, DB Ehrlich, D Lee, JD Murray, H Seo Journal of Neuroscience 40 (38), 7326-7342, 2020 | 18 | 2020 |
| Instant MuseScore M Shinn Packt Publishing Ltd, 2013 | 15 | 2013 |
| Transient neuronal suppression for exploitation of new sensory evidence M Shinn, D Lee, JD Murray, H Seo Nature Communications 13 (1), 23, 2022 | 5 | 2022 |
| Refinement type contracts for verification of scientific investigative software M Shinn Working Conference on Verified Software: Theories, Tools, and Experiments …, 2019 | 4 | 2019 |
| Learning decouples accuracy and reaction time for rapid decisions in a transitive inference task FAM Silva, G Jensen, M Shinn, J Murray, H Terrace, VP Ferrera bioRxiv, 2025 | | 2025 |
| Exploring the decision to drink (more) alcohol following manipulations of stress and alcohol intoxication J Dora, A Copeland, M Shinn, E Neilson, N Weiss, K Witkiewitz, J Murphy, ... OSF, 2024 | | 2024 |
| Does "Flight of the Bumblebee" resemble bumblebee flight? M Shinn SocArXiv, 2022 | | 2022 |
| Cortical Projection Topography Across Thalamus Reflects Large-Scale Brain Organization A Howell, S Warrington, JL Ji, M Shinn, B Adkinson, C Fonteneau, ... Biological Psychiatry 89 (9), S181, 2021 | | 2021 |
