| Circuit models of low-dimensional shared variability in cortical networks C Huang, DA Ruff, R Pyle, R Rosenbaum, MR Cohen, B Doiron Neuron 101 (2), 337-348. e4, 2019 | 150 | 2019 |
| Spatiotemporal dynamics and reliable computations in recurrent spiking neural networks R Pyle, R Rosenbaum Physical review letters 118 (1), 018103, 2017 | 55 | 2017 |
| Highly connected neurons spike less frequently in balanced networks R Pyle, R Rosenbaum Physical Review E 93 (4), 040302, 2016 | 28 | 2016 |
| Domain-driven models yield better predictions at lower cost than reservoir computers in Lorenz systems R Pyle, N Jovanovic, D Subramanian, KV Palem, AB Patel Philosophical Transactions of the Royal Society A 379 (2194), 20200246, 2021 | 24 | 2021 |
| Shallow univariate ReLu networks as splines: initialization, loss surface, Hessian, and gradient flow dynamics J Sahs, R Pyle, A Damaraju, JO Caro, O Tavaslioglu, A Lu, F Anselmi, ... Frontiers in artificial intelligence 5, 889981, 2022 | 14 | 2022 |
| A reservoir computing model of reward-modulated motor learning and automaticity R Pyle, R Rosenbaum Neural computation 31 (7), 1430-1461, 2019 | 12 | 2019 |
| Local convolutions cause an implicit bias towards high frequency adversarial examples JO Caro, Y Ju, R Pyle, S Dey, W Brendel, F Anselmi, A Patel arXiv preprint arXiv:2006.11440, 2020 | 11* | 2020 |
| Circuit-based models of shared variability in cortical networks C Huang, D Ruff, R Pyle, R Rosenbaum, M Cohen, BD Doiron BioRxiv, 217976, 2017 | 6 | 2017 |
| A functional characterization of randomly initialized gradient descent in deep relu networks J Sahs, A Damaraju, R Pyle, O Tavaslioglu, JO Caro, HY Lu, A Patel | 3 | 2019 |
| A model of reward-modulated motor learning with parallelcortical and basal ganglia pathways R Pyle, R Rosenbaum arXiv preprint arXiv:1803.03304, 2018 | 3 | 2018 |
| A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks R Pyle, S Musslick, JD Cohen, AB Patel arXiv preprint arXiv:2307.07575, 2023 | | 2023 |
| Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples J Ortega Caro, Y Ju, R Pyle, S Dey, W Brendel, F Anselmi, A Patel arXiv e-prints, arXiv: 2006.11440, 2020 | | 2020 |
| Dynamics and Computations in Recurrent Neural Networks R Pyle University of Notre Dame, 2019 | | 2019 |
| Circuit models of low dimensional shared variability in C Huang, DA Ruff, R Pyle, R Rosenbaum, MR Cohen, B Doiron | | |
