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Neural Computation|May 23, 2019
A Reservoir Computing Model of Reward-Modulated Motor Learning and AutomaticityRyan Pyle, Robert RosenbaumPhysical Review. E|May 14, 2016
Highly connected neurons spike less frequently in balanced networksRyan Pyle, Robert RosenbaumPhysical Review Letters|January 21, 2017
Spatiotemporal Dynamics and Reliable Computations in Recurrent Spiking Neural NetworksRyan Pyle, Robert RosenbaumPhilosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|February 15, 2021
Domain-driven models yield better predictions at lower cost than reservoir computers in Lorenz systemsRyan Pyle, Nikola Jovanovic, Devika Subramanian, et al.Neuron|December 25, 2018
Circuit Models of Low-Dimensional Shared Variability in Cortical NetworksChengcheng Huang, Douglas A Ruff, Ryan Pyle, et al.Frontiers in Computational Neuroscience|July 5, 2024
Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examplesJosue O Caro, Yilong Ju, Ryan Pyle, et al.Frontiers in Artificial Intelligence|June 1, 2022
Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow DynamicsJustin Sahs, Ryan Pyle, Aneel Damaraju, et al.Pageof 1