Curriculum vitae
1 Publications
Ambrose, Jonathan D, Adam Z Foshie, Mark E Dean, et al. 2020. “Grant: Ground-Roaming Autonomous Neuromorphic Targeter.” 2020 International Joint Conference on Neural Networks (IJCNN), 1–8.
Buckley, Sonia, Adam N McCaughan, Jeff Chiles, et al. 2018. “Design of Superconducting Optoelectronic Networks for Neuromorphic Computing.” 2018 IEEE International Conference on Rebooting Computing (ICRC), 1–7.
Klibisz, Aleksander, Grant Bruer, James S Plank, and Catherine D Schuman. 2017. “Structure-Based Fitness Prediction for the Variable-Structure DANNA Neuromorphic Architecture.” 2017 International Joint Conference on Neural Networks (IJCNN), 3431–38.
Mitchell, J Parker, Grant Bruer, Mark E Dean, James S Plank, Garrett S Rose, and Catherine D Schuman. 2017. “NeoN: Neuromorphic Control for Autonomous Robotic Navigation.” 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS), 136–42.
Mitchell, J Parker, Mark E Dean, Grant R Bruer, James S Plank, and Garrett S Rose. 2018. “DANNA 2: Dynamic Adaptive Neural Network Arrays.” Proceedings of the International Conference on Neuromorphic Systems, 1–6.
Plank, James S, Catherine D Schuman, Grant Bruer, Mark E Dean, and Garrett S Rose. 2018. “The TENNLab Exploratory Neuromorphic Computing Framework.” IEEE Letters of the Computer Society 1 (2): 17–20.
Plank, James, Charles Rizzo, Kirolos Shahat, et al. 2019. The TENNLab Suite of LIDAR-Based Control Applications for Recurrent, Spiking, Neuromorphic Systems. Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States).
Reynolds, John JM, James S Plank, Catherine D Schuman, et al. 2018. “A Comparison of Neuromorphic Classification Tasks.” Proceedings of the International Conference on Neuromorphic Systems, 1–8.
Schuman, Catherine D, Grant Bruer, Aaron R Young, Mark Dean, and James S Plank. 2018. “Understanding Selection and Diversity for Evolution of Spiking Recurrent Neural Networks.” 2018 International Joint Conference on Neural Networks (IJCNN), 1–8.
Schuman, Catherine D, Adam Disney, Susheela P Singh, et al. 2016. “Parallel Evolutionary Optimization for Neuromorphic Network Training.” 2016 2nd Workshop on Machine Learning in HPC Environments (MLHPC), 36–46.
Schuman, Catherine D, James S Plank, Grant Bruer, and Jeremy Anantharaj. 2019. “Non-Traditional Input Encoding Schemes for Spiking Neuromorphic Systems.” 2019 International Joint Conference on Neural Networks (IJCNN), 1–10.
Schuman, Catherine D, James S Plank, Garrett S Rose, et al. 2017. “A Programming Framework for Neuromorphic Systems with Emerging Technologies.” Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, 1–7.