William Severa, Ph.D.

John Smith, Aaron Hill, Leah Reeder, Brian Franke, Richard Lehoucq, Ojas Parekh, William Severa, James Aimone, (2022). Neuromorphic scaling advantages for energy-efficient random walk computations Nature Electronics https://doi.org/10.1038/s41928-021-00705-7 Publication ID: 80181

Ojas Parekh, Yipu Wang, Yang Ho, Cynthia Phillips, Ali Pinar, James Aimone, William Severa, (2021). Neuromorphic Graph Algorithms https://doi.org/10.2172/1829422 Publication ID: 76679

John Smith, Richard Lehoucq, James Aimone, William Severa, (2021). Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling https://www.osti.gov/servlets/purl/1900346 Publication ID: 76978

William Severa, (2021). AI Ecosystem for the Edge https://doi.org/10.2172/1892144 Publication ID: 76235

Rob Aitken, Yorie Nakahira, John Strachan, Kirk Bresniker, Ian Young, Zhiyong Li, Leonard Klebanoff, Carrie Burchard, Suhas Kumar, Matthew Marinella, William Severa, Albert Talin, Craig Vineyard, Christian Mailhiot, Robert Dick, Wei Lu, Jace Mogill, (2021). Energy Efficient Computing R&D Roadmap Outline for Automated Vehicles https://doi.org/10.2172/1821804 Publication ID: 75277

James Aimone, Yang Ho, Ojas Parekh, Cynthia Phillips, Ali Pinar, William Severa, Yipu Wang, (2021). Provable advantages for graph algorithms in spiking neural networks Annual ACM Symposium on Parallelism in Algorithms and Architectures https://doi.org/10.1145/3409964.3461813 Publication ID: 78648

James Aimone, Yang Ho, Ojas Parekh, Cynthia Phillips, Ali Pinar, William Severa, Yipu Wang, (2021). Provable Advantages for Graph Algorithms in Spiking Neural Networks https://doi.org/10.2172/1890920 Publication ID: 78930

William Severa, James Aimone, Craig Vineyard, Srideep Musuvathy, Yang Ho, Zubin Kane, leah reeder, (2021). Platform-Agnostic Neural Algorithm Composition using Fugu https://doi.org/10.2172/1856292 Publication ID: 77689

Christopher Bennett, Ryan Dellana, Tianyao Xiao, Benjamin Feinberg, Sapan Agarwal, Suma Cardwell, Matthew Marinella, William Severa, James Aimone, (2021). Evaluating complexity and resilience trade-offs in emerging memory inference machines https://doi.org/10.2172/1859699 Publication ID: 77771

Ryan Melzer, William Severa, Mark Plagge, Craig Vineyard, (2021). Exploring Characteristics of Neural Network Architecture Computation for Enabling SAR ATR https://doi.org/10.1117/12.2588006 Publication ID: 77807

Craig Vineyard, Mark Plagge, sam green, William Severa, (2021). Comparing Neural Accelerators & Neuromorphic Architectures ? The False Idol of Operations https://doi.org/10.2172/1855322 Publication ID: 77564

Craig Vineyard, Ryan Dellana, James Aimone, William Severa, (2021). Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform https://doi.org/10.2172/1761866 Publication ID: 67353

James Aimone, Richard Lehoucq, William Severa, John Smith, (2021). Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling Proceedings – 2021 International Conference on Rebooting Computing, ICRC 2021 https://doi.org/10.2172/1899660 Publication ID: 76661

James Aimone, Aaron Hill, William Severa, Craig Vineyard, (2021). Spiking Neural Streaming Binary Arithmetic Proceedings – 2021 International Conference on Rebooting Computing, ICRC 2021 https://doi.org/10.1109/ICRC53822.2021.00021 Publication ID: 76426

Craig Vineyard, Ryan Melzer, Srideep Musuvathy, John Richards, William Severa, John Smith, (2020). Neural Network Approaches for Enabling Automatic Target Recognition https://doi.org/10.2172/1831567 Publication ID: 71764

John Smith, William Severa, Aaron Hill, leah reeder, Ojas Parekh, Brian Franke, Richard Lehoucq, James Aimone, (2020). Solving a steady-state pde using spiking networks and neuromorphic hardware https://doi.org/10.1145/3407197.3407202 Publication ID: 74507

James Aimone, Yang Ho, Ojas Parekh, Cynthia Phillips, Ali Pinar, William Severa, Yipu Wang, (2020). Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths https://www.osti.gov/servlets/purl/1814114 Publication ID: 74560

John Smith, William Severa, Aaron Hill, Leah Reeder, Brian Franke, Richard Lehoucq, Ojas Parekh, James Aimone, (2020). Solving a steady-state PDE using spiking networks and neuromorphic hardware ACM International Conference Proceeding Series https://doi.org/10.1145/3407197.3407202 Publication ID: 74065

William Severa, Ryan Dellana, Craig Vineyard, (2020). Effective Pruning of Binary Activation Neural Networks ACM International Conference Proceeding Series https://doi.org/10.1145/3407197.3407201 Publication ID: 74066

James Aimone, Yang Ho, Ojas Parekh, Cynthia Phillips, Ali Pinar, William Severa, Yipu Wang, (2020). Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths https://www.osti.gov/servlets/purl/1808434 Publication ID: 74074

Abrar Anwar, Suma Cardwell, Srideep Musuvathy, William Severa, Craig Vineyard, (2020). Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks https://www.osti.gov/servlets/purl/1808779 Publication ID: 74101

William Severa, Ryan Dellana, Craig Vineyard, (2020). Effective Pruning of Binary Activation Networks https://doi.org/10.1145/3407197.3407201 Publication ID: 74115

Abrar Anwar, Suma Cardwell, Srideep Musuvathy, William Severa, Craig Vineyard, (2020). Evolving Spiking Circuit Motifs using Weight Agnostic Neural Networks https://www.osti.gov/servlets/purl/1804991 Publication ID: 73928

Park Hays, Arlo Ames, Ryan Dellana, Matthew Kagie, Andrew Scholand, William Severa, Joshua Shank, Craig Vineyard, (2020). Spike Processing for Improved Radiation Tolerance and Low Power Space Missions https://www.osti.gov/servlets/purl/1770682 Publication ID: 73013

Craig Vineyard, James Aimone, William Severa, Mark Plagge, Thomas Reichardt, Andrew Sornborger, (2020). SEEK – Scoping neuromorphic architecture impact enabling advanced sensing capabilities https://www.osti.gov/servlets/purl/1772874 Publication ID: 73130

Maryam Parsa, Catherine Schuman, Prasanna Date, Derek Rose, Bill Kay, J. Mitchell, Steven Young, Ryan Dellana, William Severa, Thomas Potok, Kaushik Roy, (2020). Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment https://doi.org/10.1109/IJCNN48605.2020.9206872 Publication ID: 73192

Christopher Bennett, Ryan Dellana, Tianyao Xiao, Benjamin Feinberg, Sapan Agarwal, Suma Cardwell, Matthew Marinella, William Severa, James Aimone, (2020). Evaluating complexity and resilience trade-offs in emerging memory inference machines https://www.osti.gov/servlets/purl/1768142 Publication ID: 72774

John Smith, James Aimone, William Severa, (2020). Leveraging Random Walks to Solve IPDEs on Spiking Neuromorphic Hardware https://www.osti.gov/servlets/purl/1765110 Publication ID: 72439

John Smith, James Aimone, Brian Franke, Aaron Hill, Richard Lehoucq, Ojas Parekh, Leah Reeder, William Severa, (2020). Solving IPDEs on Spiking Neuromorphic Hardware https://www.osti.gov/servlets/purl/1761032 Publication ID: 70692

William Severa, (2020). Neural-Inspired Computation for Efficient Scientific Computing via Random Walks and Surrogate Models https://www.osti.gov/servlets/purl/1761899 Publication ID: 70796

Christopher Moen, Zhiyong Li, William Severa, (2020). Advanced Computing for CAV Presentations to Automotive Industry https://www.osti.gov/servlets/purl/1765087 Publication ID: 71093

Felix Wang, William Severa, James Aimone, (2019). Context-modulation of hippocampal dynamics and deep convolutional networks https://www.osti.gov/servlets/purl/1642866 Publication ID: 65746

Srideep Musuvathy, James Aimone, Suma Cardwell, Frances Chance, Ryan Dellana, Yang Ho, Leah Reeder, William Severa, Craig Vineyard, Felix Wang, (2019). Fugu: Algorithm Development for Neuromorphic Hardware https://www.osti.gov/servlets/purl/1646072 Publication ID: 65493

Suma Cardwell, James Aimone, Christopher Bennett, Ryan Dellana, Suma Cardwell, William Severa, (2019). Mosaics a technique to make neuromorphic computing scalable adaptive and flexible https://www.osti.gov/servlets/purl/1642761 Publication ID: 65532

Craig Vineyard, William Severa, Sam Green, Ryan Dellana, Mark Plagge, Aaron Hill, (2019). Neural Inspired Computation Remote Sensing Platform https://doi.org/10.2172/1569155 Publication ID: 65182

James Aimone, Ojas Parekh, Cynthia Phillips, Ali Pinar, William Severa, Helen Xu, (2019). Dynamic Programming with Spiking Neural Computing https://doi.org/10.1145/3354265.3354285 Publication ID: 70516

Felix Wang, Sam Green, William Severa, (2019). State Representation Learning for Deep Planning https://www.osti.gov/servlets/purl/1641483 Publication ID: 70265

Felix Wang, Sam Green, William Severa, (2019). State Representation Learning for Deep Planning https://www.osti.gov/servlets/purl/1641498 Publication ID: 70276

James Aimone, William Severa, Craig Vineyard, (2019). Composing neural algorithms with Fugu ACM International Conference Proceeding Series https://doi.org/10.1145/3354265.3354268 Publication ID: 64887

James Aimone, Ali Pinar, Ojas Parekh, William Severa, Cynthia Phillips, Helen Xu, (2019). Dynamic programming with spiking neural computing ACM International Conference Proceeding Series https://doi.org/10.1145/3354265.3354285 Publication ID: 70018

Craig Vineyard, Sam Green, William Severa, Cetin Koc, (2019). Benchmarking Event-Driven Neuromorphic Architectures https://doi.org/10.1145/3354265.3354278 Publication ID: 70043

William Severa, (2019). Neuromorphic Benchmarking at the Neural Exploration and Research Laboratory https://www.osti.gov/servlets/purl/1641327 Publication ID: 70044

Craig Vineyard, William Severa, Matthew Kagie, Andrew Scholand, Park Hays, (2019). A resurgence in neuromorphic architectures enabling remote sensing computation Proceedings – 2019 IEEE Space Computing Conference, SCC 2019 https://doi.org/10.1109/SpaceComp.2019.00009 Publication ID: 70089

Angel Yanguas-Gil, Anil Mane, Jeffrey Elam, Felix Wang, William Severa, Anurag Daram, Dhireesha Kudithipudi, (2019). The insect brain as a model system for low power electronics and edge processing applications Proceedings – 2019 IEEE Space Computing Conference, SCC 2019 https://doi.org/10.1109/SpaceComp.2019.00012 Publication ID: 69580

Aaron Hill, Jonathon Donaldson, Fredrick Rothganger, Craig Vineyard, David Follett, Pamela Follett, Michael Smith, Stephen Verzi, William Severa, Felix Wang, James Aimone, John Naegle, Conrad James, (2019). Neuromorphic Computing Algorithms and Architecture Research at Sandia https://www.osti.gov/servlets/purl/1645676 Publication ID: 70107

Craig Vineyard, Ryan Dellana, James Aimone, Fredrick Rothganger, William Severa, (2019). Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform ACM International Conference Proceeding Series https://doi.org/10.1145/3320288.3320300 Publication ID: 67701

Aaron Hill, William Severa, Craig Vineyard, Ryan Dellana, Leah Reeder, Felix Wang, James Aimone, Angel Yanguas-Gil, (2019). Building a Comprehensive Neuromorphic Platformfor Remote Computation https://www.osti.gov/servlets/purl/1639487 Publication ID: 67624

Leah Reeder, James Aimone, William Severa, Aaron Hill, (2019). Applications of Random Walks Utilizing Neuromorphic Computing https://www.osti.gov/servlets/purl/1639488 Publication ID: 67625

Felix Wang, William Severa, Fredrick Rothganger, (2019). Spatio-Temporal Signals Processing in Polychronizing Spiking Neural Networks https://www.osti.gov/servlets/purl/1639539 Publication ID: 67706

Mauro Perego, John Jakeman, William Severa, Lars Ruthotto, (2019). Neural Networks Surrogates of PDE-based Dynamical Systems: Application to Ice Sheet Dynamics https://www.osti.gov/servlets/purl/1639251 Publication ID: 67249

William Severa, Aaron Hill, Craig Vineyard, Ryan Dellana, Leah Reeder, Felix Wang, James Aimone, Angel Yanguas-Gil, (2019). Building a Comprehensive Neuromorphic Platform for Remote Computation https://www.osti.gov/servlets/purl/1592219 Publication ID: 64273

Jeffrey Krichmar, William Severa, Muhammad Khan, James Olds, (2019). Making bread: Biomimetic strategies for artificial intelligence now and in the future Frontiers in Neuroscience https://doi.org/10.3389/fnins.2019.00666 Publication ID: 69189

William Severa, Richard Lehoucq, Ojas Parekh, James Aimone, (2018). Spiking Neural Algorithms for Markov Process Random Walk Proceedings of the International Joint Conference on Neural Networks https://doi.org/10.1109/IJCNN.2018.8489628 Publication ID: 61822

James Aimone, Kathleen Hamilton, Susan Mniszewski, Leah Reeder, Catherine Schuman, William Severa, (2018). Non-Neural Network Applications for Spiking Neuromorphic Hardware https://www.osti.gov/servlets/purl/1882371 Publication ID: 59573

Leah Reeder, Aaron Hill, James Aimone, William Severa, (2018). Exploring Applications of Random Walks on Spiking Neural Algorithms https://doi.org/10.2172/1471656 Publication ID: 58933

John Jakeman, Mauro Perego, William Severa, (2018). Neural Networks as Surrogates of Nonlinear High-Dimensional Parameter-to-Prediction Maps https://doi.org/10.2172/1531317 Publication ID: 59302

James Aimone, Aaron Hill, Richard Lehoucq, Ojas Parekh, Leah Reeder, William Severa, (2018). Neural Algorithms for Low Power Implementation of Partial Differential Equations https://doi.org/10.2172/1474253 Publication ID: 59070

James Aimone, Aaron Hill, Richard Lehoucq, Ojas Parekh, William Severa, (2018). Neuromorphic Hardware Implementation of Spiking Algorithms for Markov Random Walks https://www.osti.gov/servlets/purl/1582258 Publication ID: 63837

William Severa, Craig Vineyard, Ryan Dellana, James Aimone, (2018). Whetstone: An Accessible Platform-Independent Method for Training Spiking Deep Neural Networks for Neuromorphic Processors https://www.osti.gov/servlets/purl/1806670 Publication ID: 63321

William Severa, Richard Lehoucq, Ojas Parekh, James Aimone, (2018). Spiking Neural Algorithms for Markov Process Random Walk https://doi.org/10.1109/IJCNN.2018.8489628 Publication ID: 62925

William Severa, Ryan Dellana, Craig Vineyard, James Aimone, (2018). Whetstone: An accessible platform-independent method training spiking deep neural networks for neuromorphic processors https://www.osti.gov/servlets/purl/1806636 Publication ID: 63219

James Aimone, William Severa, (2018). Context-modulation of hippocampal dynamics and deep convolutional networks https://www.osti.gov/servlets/purl/1513733 Publication ID: 59992

William Severa, Ryan Dellana, Craig Vineyard, James Aimone, (2018). Whetstone: An accessible platform-independent method for training spiking deep neural networks for neuromorphic processors https://www.osti.gov/servlets/purl/1572444 Publication ID: 60507

Craig Vineyard, Stephen Verzi, William Severa, James Aimone, (2018). Spiking Neuron Implementations of Several Fundamental Machine Learning Algorithms https://www.osti.gov/servlets/purl/1498201 Publication ID: 60768

William Severa, Craig Vineyard, Ryan Dellana, James Aimone, (2018). Whetstone: An Accessible Platform-Independent Method for Training Spiking Deep Neural Networks for Neuromorphic Processors https://www.osti.gov/servlets/purl/1498219 Publication ID: 60857

Aaron Hill, Jonathon Donaldson, Fredrick Rothganger, Craig Vineyard, David Follett, Pamela Follett, Michael Smith, Stephen Verzi, William Severa, Felix Wang, James Aimone, John Naegle, Conrad James, (2017). A spike-Timing neuromorphic architecture 2017 IEEE International Conference on Rebooting Computing, ICRC 2017 – Proceedings https://doi.org/10.1109/ICRC.2017.8123631 Publication ID: 58345

James Aimone, William Severa, (2017). Context-modulation of hippocampal dynamics and deep convolutional networks https://www.osti.gov/servlets/purl/1484567 Publication ID: 54406

William Severa, Jerilyn Timlin, Suraj Kholwadwala, Conrad James, James Aimone, (2017). Data-driven Feature Sampling for Deep Hyperspectral Classification and Segmentation https://www.osti.gov/servlets/purl/1509662 Publication ID: 53345

Aaron Hill, William Severa, James Aimone, (2017). TrueNorth Implementation of a Temporally Coded Spiking Cross-Correlation Algorithm for Particle Image Velocimetry https://www.osti.gov/servlets/purl/1480592 Publication ID: 53877

Stephen Verzi, Ryan Dellana, William Severa, Michael Smith, Fredrick Rothganger, Conrad James, James Aimone, Craig Vineyard, (2017). Steep Deep Spiking Networks https://www.osti.gov/servlets/purl/1464724 Publication ID: 57912

William Severa, (2017). Integrating Neuromorphic Hardware with Scientific Computing Methods https://www.osti.gov/servlets/purl/1468707 Publication ID: 58262

William Severa, (2017). Deep Hyperspectral Classification for Data-Driven Sparse Sampling https://www.osti.gov/servlets/purl/1464090 Publication ID: 57851

James Aimone, Ojas Parekh, William Severa, (2017). Neural computing for scientific computing applications ACM International Conference Proceeding Series https://doi.org/10.1145/3183584.3183618 Publication ID: 54293

Timothy Draelos, Nadine Miner, Jonathan Cox, Christopher Lamb, Craig Vineyard, Kristofor Carlson, William Severa, Conrad James, James Aimone, (2017). Neurogenesis Deep Learning https://www.osti.gov/servlets/purl/1462930 Publication ID: 57714

James Aimone, William Severa, Ojas Parekh, (2017). Neural Computing for Scientific Computing Applications: https://doi.org/10.1145/3183584.3183618 Publication ID: 57522

Timothy Draelos, Nadine Miner, Christopher Lamb, Jonathan Cox, Craig Vineyard, Kristofor Carlson, William Severa, Conrad James, James Aimone, (2017). Neurogenesis deep learning: Extending deep networks to accommodate new classes Proceedings of the International Joint Conference on Neural Networks https://doi.org/10.1109/IJCNN.2017.7965898 Publication ID: 56321

Timothy Draelos, Nadine Miner, Christopher Lamb, Jonathan Cox, Craig Vineyard, Kristofor Carlson, William Severa, Conrad James, James Aimone, (2017). Neurogenesis Deep Learning https://www.osti.gov/servlets/purl/1424868 Publication ID: 55124

William Severa, Ojas Parekh, Conrad James, James Aimone, (2017). A combinatorial model for dentate gyrus sparse coding Neural Computation https://doi.org/10.1162/NECO_a_00905 Publication ID: 51741

William Severa, Kristofor Carlson, Ojas Parekh, Craig Vineyard, James Aimone, (2016). Can we be formal in assessing the strengths and weaknesses of neural architectures? A case study using a spiking cross-correlation algorithm https://www.osti.gov/servlets/purl/1413431 Publication ID: 48137

William Severa, Ojas Parekh, Kristofor Carlson, Conrad James, James Aimone, (2016). Spiking network algorithms for scientific computing 2016 IEEE International Conference on Rebooting Computing, ICRC 2016 – Conference Proceedings https://doi.org/10.1109/ICRC.2016.7738681 Publication ID: 47206

William Severa, Kristofor Carlson, Ojas Parekh, Craig Vineyard, James Aimone, (2016). Can we be formal in assessing the strengths and weaknesses of neural architectures? A case study using a spiking cross-correlation algorithm https://www.osti.gov/servlets/purl/1410236 Publication ID: 47882

William Severa, Ojas Parekh, Conrad James, James Aimone, (2016). Formalizing Function within the Hippocampal Trisynaptic Circuit https://www.osti.gov/servlets/purl/1408291 Publication ID: 47646

Conrad James, William Severa, Timothy Draelos, James Aimone, Craig Vineyard, Sapan Agarwal, Alexander Hsia, David Hughart, Patrick Finnegan, Robin Jacobs-Gedrim, Elliot Fuller, Albert Talin, Matthew Marinella, Richard Schiek, Steven Plimpton, (2016). Neural machine learning algorithms and hardware for image analysis and data science applications https://www.osti.gov/servlets/purl/1398356 Publication ID: 52612

William Severa, Ojas Parekh, Kristofor Carlson, Conrad James, James Aimone, (2016). Spiking Network Algorithms for Scientific Computing https://doi.org/10.1109/ICRC.2016.7738681 Publication ID: 51273

Timothy Draelos, Nadine Miner, Jonathan Cox, Christopher Lamb, William Severa, Conrad James, James Aimone, (2016). Neurogenic Deep Learning https://www.osti.gov/servlets/purl/1365357 Publication ID: 49726

William Severa, Ojas Parekh, Conrad James, James Aimone, (2016). A Combinatorial Model of Dentate Gyrus Sparse Coding and Pattern Separation [PowerPoint] https://www.osti.gov/servlets/purl/1346453 Publication ID: 48713

William Severa, Ojas Parekh, Conrad James, James Aimone, (2016). A Combinatorial Model of Dentate Gyrus Sparse Coding and Pattern Separation [Poster] https://www.osti.gov/servlets/purl/1345889 Publication ID: 48635

Craig Vineyard, James Aimone, Michael Bernard, Kristofor Carlson, Frances Chance, James Forsythe, Conrad James, Fredrick Rothganger, William Severa, Ann Speed, Stephen Verzi, Christina Warrender, John Wagner, Leann Miller, (2015). Neural Computing at Sandia National Laboratories https://www.osti.gov/servlets/purl/1335732 Publication ID: 41869

James Aimone, Ojas Parekh, William Severa, (2015). A Sparse Coding Model of the Hippocampal Dentate Gyrus https://www.osti.gov/servlets/purl/1337917 Publication ID: 42156

William Severa, Ojas Parekh, Conrad James, James Aimone, (2015). Finding Triangles and Tracking Particles: Using Spiking Neural Networks for Pattern Identification Algorithms https://www.osti.gov/servlets/purl/1333797 Publication ID: 41734