Parallel Evolutionary Optimization for Neuromorphic Network Training. - Catherine D. Schuman; Adam Disney; Susheela P. Singh; Grant Bruer; J. Parker Mitchell; Aleksander Klibisz; James S. Plank (MLHPC@SC, 2016)

Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems. - Maryam Parsa; J. Parker Mitchell; Catherine D. Schuman; Robert M. Patton; Thomas E. Potok; Kaushik Roy 001 (IEEE BigData, 2019)

Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks. - Mihaela Dimovska; Travis Johnston; Catherine D. Schuman; J. Parker Mitchell; Thomas E. Potok (UEMCON, 2019)

Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency. - Catherine D. Schuman; Steven R. Young; J. Parker Mitchell; J. Travis Johnston; Derek C. Rose; Bryan P. Maldonado; Brian C. Kaul (IGSC (Workshops), 2020)

A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs. - J. Parker Mitchell; Catherine D. Schuman; Thomas E. Potok (ICONS, 2020)

GRANT: Ground-Roaming Autonomous Neuromorphic Targeter. - Jonathan D. Ambrose; Adam Z. Foshie; Mark E. Dean; James S. Plank; Garrett S. Rose; J. Parker Mitchell; Catherine D. Schuman; Grant Bruer (IJCNN, 2020)

Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. - Maryam Parsa; Catherine D. Schuman; Prasanna Date; Derek C. Rose; Bill Kay; J. Parker Mitchell; Steven R. Young; Ryan Dellana; William Severa; Thomas E. Potok; Kaushik Roy 001 (IJCNN, 2020)

Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems. - Catherine D. Schuman; J. Parker Mitchell; J. Travis Johnston; Maryam Parsa; Bill Kay; Prasanna Date; Robert M. Patton (IJCNN, 2020)

Automated Design of Neuromorphic Networks for Scientific Applications at the Edge. - Catherine D. Schuman; J. Parker Mitchell; Maryam Parsa; James S. Plank; Samuel D. Brown; Garrett S. Rose; Robert M. Patton; Thomas E. Potok (IJCNN, 2020)

Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. - Aaron R. Young; Adam Z. Foshie; Mark E. Dean; James S. Plank; Garrett S. Rose; J. Parker Mitchell; Catherine D. Schuman (IJCNN, 2020)

Caspian: A Neuromorphic Development Platform. - J. Parker Mitchell; Catherine D. Schuman; Robert M. Patton; Thomas E. Potok (NICE, 2020)

Evolutionary Optimization for Neuromorphic Systems. - Catherine D. Schuman; J. Parker Mitchell; Robert M. Patton; Thomas E. Potok; James S. Plank (NICE, 2020)

Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems. - Daniel Elbrecht; Shruti R. Kulkarni; Maryam Parsa; J. Parker Mitchell; Catherine D. Schuman (SSCI, 2020)

Training Spiking Neural Networks Using Combined Learning Approaches. - Daniel Elbrecht; Maryam Parsa; Shruti R. Kulkarni; J. Parker Mitchell; Catherine D. Schuman (SSCI, 2020)

Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution. - Maryam Parsa; Shruti R. Kulkarni; Mark Coletti; Jeffrey K. Bassett; J. Parker Mitchell; Catherine D. Schuman (CEC, 2021)

Experiments and Analysis for Measuring Mechanical Motion with Event Cameras. - Kathy W. Hylton; J. Parker Mitchell; Blake Van Hoy; Thomas P. Karnowski (IRIACV, 2021)

Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation. - Shruti R. Kulkarni; Maryam Parsa; J. Parker Mitchell; Catherine D. Schuman (ICONS, 2021)

Low Power Hardware-In-The-Loop Neuromorphic Training Accelerator. - J. Parker Mitchell; Catherine D. Schuman (ICONS, 2021)

Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach. - Maryam Parsa; Catherine D. Schuman; Nitin Rathi; Amirkoushyar Ziabari; Derek C. Rose; J. Parker Mitchell; J. Travis Johnston; Bill Kay; Steven R. Young; Kaushik Roy 001 (ICONS, 2021)

Neuromorphic Computing for Autonomous Racing. - Robert M. Patton; Catherine D. Schuman; Shruti R. Kulkarni; Maryam Parsa; J. Parker Mitchell; Nicholas Quentin Haas; Christopher G. Stahl; Spencer Paulissen; Prasanna Date; Thomas E. Potok; Shay Sneider (ICONS, 2021)

A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems. - Catherine D. Schuman; James S. Plank; Maryam Parsa; Shruti R. Kulkarni; Nicholas D. Skuda; J. Parker Mitchell (IJCNN, 2021)

Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion. - Bryan P. Maldonado; Brian C. Kaul; Catherine D. Schuman; Steven R. Young; J. Parker Mitchell (IEEE Control. Syst. Lett., 2021)

Benchmarking the performance of neuromorphic and spiking neural network simulators. - Shruti R. Kulkarni; Maryam Parsa; J. Parker Mitchell; Catherine D. Schuman (Neurocomputing, 2021)

Opportunities for neuromorphic computing algorithms and applications. - Catherine D. Schuman; Shruti R. Kulkarni; Maryam Parsa; J. Parker Mitchell; Prasanna Date; Bill Kay (Nat. Comput. Sci., 2022)

Publisher Correction: Opportunities for neuromorphic computing algorithms and applications. - Catherine D. Schuman; Shruti R. Kulkarni; Maryam Parsa; J. Parker Mitchell; Prasanna Date; Bill Kay (Nat. Comput. Sci., 2022)

Evolutionary vs imitation learning for neuromorphic control at the edge. - Catherine D. Schuman; Robert M. Patton; Shruti R. Kulkarni; Maryam Parsa; Christopher G. Stahl; Nicholas Quentin Haas; J. Parker Mitchell; Shay Snyder; Amelie Nagle; Alexandra Shanafield; Thomas E. Potok (Neuromorph. Comput. Eng., 2022)

Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators. - Bryan P. Maldonado; Brian C. Kaul; Catherine D. Schuman; Steven R. Young; J. Parker Mitchell (IEEE Trans. Control. Syst. Technol., 2022)