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Benchmarking the performance of neuromorphic and spiking neural network...
Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman: Benchmarking the performance of neuromorphic and spiking neural network simulators. Neurocomputing 447: 145-160 (2021)
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Stochasticity and robustness in spiking neural networks.
Wilkie Olin-Ammentorp, Karsten Beckmann, Catherine D. Schuman, James S. Plank, Nathaniel C. Cady: Stochasticity and robustness in spiking neural networks. Neurocomputing 419: 23-36 (2021)
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Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in...
Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell: Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion. IEEE...
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Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random...
Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne Incorvia, James B. Aimone: Probabilistic Neural...
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Disclosure of a Neuromorphic Starter Kit.
James S. Plank, Bryson Gullett, Adam Z. Foshie, Garrett S. Rose, Catherine D. Schuman: Disclosure of a Neuromorphic Starter Kit. CoRR abs/2211.04526 (2022)
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Biological connectomes as a representation for the architecture of artificial...
Samuel Schmidgall, Catherine D. Schuman, Maryam Parsa: Biological connectomes as a representation for the architecture of artificial neural networks. CoRR abs/2209.14406 (2022)
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Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron.
Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter: Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron. CoRR...
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The Case for RISP: A Reduced Instruction Spiking Processor.
James S. Plank, Chaohui Zheng, Bryson Gullett, Nicholas D. Skuda, Charles Rizzo, Catherine D. Schuman, Garrett S. Rose: The Case for RISP: A Reduced Instruction Spiking Processor. CoRR abs/2206.14016...
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ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN,...
Thomas E. Potok, Catherine D. Schuman, Melika Payvand, Prasanna Date, Shruti R. Kulkarni, Yiran Chen, Robinson E. Pino, Brad Aimone, Mutsumi Kimura, Gregory Cohen, David Whittaker, Gordon Hirsch...
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Neuromorphic Computing for Scientific Applications.
Robert M. Patton, Prasanna Date, Shruti R. Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven R. Young, Mark Coletti, Thomas E. Potok, Catherine D. Schuman: Neuromorphic Computing for...
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A Framework to Enable Top-Down Co-Design of Neuromorphic Systems for...
Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok, Garrett S. Rose: A Framework to Enable Top-Down Co-Design of Neuromorphic Systems for Real-World Applications. NICE 2022: 84-85
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Virtual Neuron: A Neuromorphic Approach for Encoding Numbers.
Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter: Virtual Neuron: A Neuromorphic Approach for Encoding Numbers. ICRC 2022: 100-105
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Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random...
Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne Incorvia, James B. Aimone: Probabilistic Neural...
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Training reinforcement learning models via an adversarial evolutionary...
Mark Coletti, Chathika Gunaratne, Catherine D. Schuman, Robert M. Patton: Training reinforcement learning models via an adversarial evolutionary algorithm. ICPP Workshops 2022: 23:1-23:6
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Semi-Supervised Graph Structure Learning on Neuromorphic Computers.
Guojing Cong, Seung-Hwan Lim, Shruti R. Kulkarni, Prasanna Date, Thomas E. Potok, Shay Snyder, Maryam Parsa, Catherine D. Schuman: Semi-Supervised Graph Structure Learning on Neuromorphic Computers....
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Event-Based Camera Simulation Wrapper for Arcade Learning Environment.
Charles Rizzo, Catherine D. Schuman, James S. Plank: Event-Based Camera Simulation Wrapper for Arcade Learning Environment. ICONS 2022: 24:1-24:5
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A Neuromorphic Algorithm for Radiation Anomaly Detection.
James Ghawaly, Aaron R. Young, Dan Archer, Nick Prins, Brett Witherspoon, Catherine D. Schuman: A Neuromorphic Algorithm for Radiation Anomaly Detection. ICONS 2022: 22:1-22:6
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Neuromorphic Computing is Turing-Complete.
Prasanna Date, Thomas E. Potok, Catherine D. Schuman, Bill Kay: Neuromorphic Computing is Turing-Complete. ICONS 2022: 16:1-16:10
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Evaluating Encoding and Decoding Approaches for Spiking Neuromorphic Systems.
Catherine D. Schuman, Charles Rizzo, John McDonald-Carmack, Nicholas D. Skuda, James S. Plank: Evaluating Encoding and Decoding Approaches for Spiking Neuromorphic Systems. ICONS 2022: 2:1-2:9
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A Methodology to Generate Efficient Neural Networks for Classification of...
Ria Patel, Ariel Keller Rorabaugh, Paula Olaya, Silvina Caíno-Lores, Georgia Channing, Catherine D. Schuman, Osamu Miyashita, Florence Tama, Michela Taufer: A Methodology to Generate Efficient Neural...
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Guest Editorial: Special Section on Parallel and Distributed Computing...
Scott Pakin, Christof Teuscher, Catherine D. Schuman: Guest Editorial: Special Section on Parallel and Distributed Computing Techniques for Non-Von Neumann Technologies. IEEE Trans. Parallel...
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Next-Cycle Optimal Dilute Combustion Control via Online Learning of...
Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell: Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel...
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A review of non-cognitive applications for neuromorphic computing.
James B. Aimone, Prasanna Date, Gabriel A. Fonseca Guerra, Kathleen E. Hamilton, Kyle Henke, Bill Kay, Garrett T. Kenyon, Shruti R. Kulkarni, Susan M. Mniszewski, Maryam Parsa, Sumedh R. Risbud,...
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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....
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Unsupervised Digit Recognition Using Cosine Similarity In A Neuromemristive...
Bon Woong Ku, Catherine D. Schuman, Md Musabbir Adnan, Tiffany M. Mintz, Raphael C. Pooser, Kathleen E. Hamilton, Garrett S. Rose, Sung Kyu Lim: Unsupervised Digit Recognition Using Cosine Similarity...
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Multi-level, Forming Free, Bulk Switching Trilayer RRAM for Neuromorphic...
Jaeseoung Park, Ashwani Kumar, Yucheng Zhou, Sangheon Oh, Jeong-Hoon Kim, Yuhan Shi, Soumil Jain, Gopabandhu Hota, Amelie L. Nagle, Catherine D. Schuman, Gert Cauwenberghs, Duygu Kuzum: Multi-level,...
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Spike-based Neuromorphic Computing for Next-Generation Computer Vision.
Md Sakib Hasan, Catherine D. Schuman, Zhongyang Zhang, Tauhidur Rahman, Garrett S. Rose: Spike-based Neuromorphic Computing for Next-Generation Computer Vision. CoRR abs/2310.09692 (2023)
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A Deep Dive into the Design Space of a Dynamically Reconfigurable Cryogenic...
Md. Mazharul Islam, Shamiul Alam, Catherine D. Schuman, Md. Shafayat Hossain, Ahmedullah Aziz: A Deep Dive into the Design Space of a Dynamically Reconfigurable Cryogenic Spiking Neuron. CoRR...
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Functional Specification of the RAVENS Neuroprocessor.
Adam Z. Foshie, James S. Plank, Garrett S. Rose, Catherine D. Schuman: Functional Specification of the RAVENS Neuroprocessor. CoRR abs/2307.15232 (2023)
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On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics...
Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz,...
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Enhanced Read Resolution in Reconfigurable Memristive Synapses for Spiking...
Hritom Das, Nishith N. Chakraborty, Catherine D. Schuman, Garrett S. Rose: Enhanced Read Resolution in Reconfigurable Memristive Synapses for Spiking Neural Networks. CoRR abs/2306.13721 (2023)
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Benchmarking the human brain against computational architectures.
Céline van Valkenhoef, Catherine D. Schuman, Philip Walther: Benchmarking the human brain against computational architectures. CoRR abs/2305.14363 (2023)
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NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and...
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley,...
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Proceedings of the 2023 International Conference on Neuromorphic Systems,...
Catherine D. Schuman, Melika Payvand, Maryam Parsa: Proceedings of the 2023 International Conference on Neuromorphic Systems, ICONS 2023, Santa Fe, NM, USA, August 1-3, 2023. ACM 2023 [contents]
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Proceedings of the 20th ACM International Conference on Computing Frontiers,...
Andrea Bartolini, Kristian F. D. Rietveld, Catherine D. Schuman, Jose Moreira: Proceedings of the 20th ACM International Conference on Computing Frontiers, CF 2023, Bologna, Italy, May 9-11, 2023. ACM...
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Impact of Noisy Input on Evolved Spiking Neural Networks for Neuromorphic...
Karan P. Patel, Catherine D. Schuman: Impact of Noisy Input on Evolved Spiking Neural Networks for Neuromorphic Systems. NICE 2023: 52-56
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Neuromorphic Downsampling of Event-Based Camera Output.
Charles Rizzo, Catherine D. Schuman, James S. Plank: Neuromorphic Downsampling of Event-Based Camera Output. NICE 2023: 26-34
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Composable Workflow for Accelerating Neural Architecture Search Using In Situ...
Georgia Channing, Ria Patel, Paula Olaya, Ariel Keller Rorabaugh, Osamu Miyashita, Silvina Caíno-Lores, Catherine D. Schuman, Florence Tama, Michela Taufer: Composable Workflow for Accelerating Neural...
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Algorithm and Application Impacts of Programmable Plasticity in Spiking...
Shelah Ameli, Adam Z. Foshie, Drew Friend, James S. Plank, Garrett S. Rose, Catherine D. Schuman: Algorithm and Application Impacts of Programmable Plasticity in Spiking Neuromorphic Hardware. ICONS...
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Impact of Neuron Firing Rate on Application and Algorithm Performance.
Lillian Sharpe, Julia Steed, Md. Mazharul Islam, Ahmedullah Aziz, Catherine D. Schuman: Impact of Neuron Firing Rate on Application and Algorithm Performance. ICONS 2023: 14:1-14:4
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Performance Optimization Study of the Neuromorphic Radiation Anomaly Detector.
James Ghawaly, Aaron R. Young, Andrew D. Nicholson, Brett Witherspoon, Nick Prins, Mathew Swinney, Cihangir Celik, Catherine D. Schuman, Karan Patel: Performance Optimization Study of the Neuromorphic...
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DVSGesture Recognition with Neuromorphic Observation Space Reduction Techniques.
Charles Rizzo, Luke Mccombs, Braxton Haynie, Catherine D. Schuman, James S. Plank: DVSGesture Recognition with Neuromorphic Observation Space Reduction Techniques. ICONS 2023: 10:1-10:8
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On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics...
Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz,...
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VINARCH: A Visual Analytics Interactive Tool for Neural Network Archaeology.
Seoyoung An, Georgia Channing, Catherine D. Schuman, Michela Taufer: VINARCH: A Visual Analytics Interactive Tool for Neural Network Archaeology. CLUSTER Workshops 2023: 50-51
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Avoiding excess computation in asynchronous evolutionary algorithms.
Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong: Avoiding excess computation in asynchronous evolutionary...
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Speed-based Filtration and DBSCAN of Event-based Camera Data with...
Charles P. Rizzo, Catherine D. Schuman, James S. Plank: Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing. CoRR abs/2401.15212 (2024)
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Publisher Correction: Opportunities for neuromorphic computing algorithms and...
Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay: Publisher Correction: Opportunities for neuromorphic computing algorithms and applications. Nat....
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Opportunities for neuromorphic computing algorithms and applications.
Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay: Opportunities for neuromorphic computing algorithms and applications. Nat. Comput. Sci. 2(1): 10-19...
View ArticleHyperparameter Optimization and Feature Inclusion in Graph Neural Networks...
Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman: Hyperparameter Optimization and Feature Inclusion in Graph Neural...
View ArticleEvaluating Neuron Models through Application-Hardware Co-Design.
Catherine D. Schuman, Hritom Das, James S. Plank, Ahmedullah Aziz, Garrett S. Rose: Evaluating Neuron Models through Application-Hardware Co-Design. ACSSC 2023: 537-542
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