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Publication	Type	Year
Spiking Neural Approaches to SAR ATR SPIE Defense and Commercial Sensing Craig Michael Vineyard, James Bradley Aimone, Ryan Anthony Dellana, Esteban J. Guillen, Aaron Jamison Hill, William Mark Severa, Javier Zazueta	Conference Presentation – 2022 Conference Presentation	2022
Biologically Inspired Interception on an Unmanned System Frances S. Chance, Charles Q. Little, Marcus McKenzie, Ryan Anthony Dellana, Daniel E. Small, Thomas R. Gayle, David K. Novick https://www.osti.gov/search/identifier:1827493	Report – 2021 Report	2021
Evaluating complexity and resilience trade-offs in emerging memory inference machines NICE Virtual Conference Proceedings Christopher Bennett, Ryan Anthony Dellana, Tianyao Xiao, Benjamin Feinberg, Sapan Agarwal, Suma George Cardwell, Matthew Marinella, William Mark Severa, James Bradley Aimone https://www.osti.gov/search/identifier:1859699	Conference Presentation – 2021 Conference Presentation	2021
Mosaic, The Best of Both Worlds: Analog devices with Digital Spiking Communication to build a Hybrid Neural Network Accelerator James Bradley Aimone, Christopher Bennett, Suma George Cardwell, Ryan Anthony Dellana, Tianyao Xiao https://www.osti.gov/search/identifier:1673175	SAND Report – 2020 SAND Report	2020
Effective Pruning of Binary Activation Networks International Conference on Neuromorphic Systems William Mark Severa, Ryan Anthony Dellana, Craig Michael Vineyard https://www.osti.gov/search/identifier:1808939	Conference Paper – 2020 Conference Paper	2020
Effective Pruning of Binary Activation Neural Networks International Conference on Neuromorphic Systems William Mark Severa, Ryan Anthony Dellana, Craig Michael Vineyard https://www.osti.gov/search/identifier:1808427	Conference Paper – 2020 Conference Paper	2020
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment International Joint Conference on Neural Networks Maryam (ORNL) Parsa, Catherine (ORNL) Schuman, Prasanna (ORNL) Date, Derek (ORNL) Rose, Bill (ORNL) Kay, J. Parker (ORNL) Mitchell, Steven (ORNL) Young, Ryan Anthony Dellana, William Mark Severa, Thomas (ORNL) Potok, Kaushik (Purdue) Roy https://www.osti.gov/search/identifier:1774230	Conference Paper – 2020 Conference Paper	2020
Spike Processing for Improved Radiation Tolerance and Low Power Space Missions Nuclear Explosion Monitoring Annual Meeting Park Hays, Arlo L. Ames, Ryan Anthony Dellana, Matthew J. Kagie, Andrew J. Scholand, William Mark Severa, Joshua Shank, Craig Michael Vineyard https://www.osti.gov/search/identifier:1770682	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Evaluating complexity and resilience trade-offs in emerging memory inference machines 2020 Neuro-Inspired Computational Elements Workshop Christopher Bennett, Ryan Anthony Dellana, Tianyao Xiao, Benjamin Feinberg, Sapan Agarwal, Suma George Cardwell, Matthew Marinella, William Mark Severa, James Bradley Aimone https://www.osti.gov/search/identifier:1768142	Conference Paper – 2020 Conference Paper	2020
Device-aware inference operations in SONOS non-volatile memory arrays International Reliability Physics Symposium Christopher Bennett, Tianyao Xiao, Ryan Anthony Dellana, Benjamin Feinberg, Sapan Agarwal, Matthew Marinella, Vineet Agrawal, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Long Hinh, Swatilekha Saha, Vijay Raghavan, Ramesh Chettuvetty Chettuvetty https://www.osti.gov/search/identifier:1765314	Conference Paper – 2020 Conference Paper	2020
Evaluating complexity and resilience trade-offs in emerging memory inference machines Neuro-Inspired Computational Elements Workshop Suma George Cardwell, Christopher Bennett, James Bradley Aimone, Ryan Anthony Dellana, Sapan Aggarwal https://www.osti.gov/search/identifier:1643292	Conference Paper – 2019 Conference Paper	2019
Device-aware inference operations in SONOS non-volatile memory arrays 2020 IEEE International Reliability Physics Symposium Christopher Bennett, Tianyao Xiao, Ryan Anthony Dellana, Benjamin Feinberg, V. Prabhakar, K. Ramkumar, V. Agrawal, L. Hinh, S. Saha, Vijay Raghavan, Ramesh Chettuvetty, Sapan Agarwal, Matthew Marinella	Abstract – 2019 Abstract	2019
Mosaics, a technique to make neuromorphic computing scalable, adaptive and flexible International Conference on Artificial Intelligence Circuits and Systems Suma George Cardwell, James Bradley Aimone, Christopher Bennett, Ryan Anthony Dellana, Suma George Cardwell, William Mark Severa https://www.osti.gov/search/identifier:1642761	Conference Paper – 2019 Conference Paper	2019
Fugu: Algorithm Development for Neuromorphic Hardware Intel Neuromorphic Research Community Fall Workshop Srideep Musuvathy, James Bradley Aimone, Suma George Cardwell, Frances S. Chance, Ryan Anthony Dellana, Yang Ho, Leah Evelyn Reeder, William Mark Severa, Craig Michael Vineyard, Felix Wang https://www.osti.gov/search/identifier:1646072	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Neural Inspired Computation Remote Sensing Platform Craig Michael Vineyard, William Mark Severa, Sam Green, Ryan Anthony Dellana, Mark Plagge, Aaron Jamison Hill https://www.osti.gov/search/identifier:1569155	SAND Report – 2019 SAND Report	2019
New Directions in Causality and Causal Modeling International System Dynamics Conference Asmeret Bier Naugle, Lauren Hund, Felix Wang, Ryan Anthony Dellana https://www.osti.gov/search/identifier:1641309	Conference Paper – 2019 Conference Paper	2019
Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform Nice 2019 Craig Michael Vineyard, Ryan Anthony Dellana, James Bradley Aimone, William Mark Severa https://www.osti.gov/search/identifier:1639535	Conference Paper – 2019 Conference Paper	2019
Building a Comprehensive Neuromorphic Platform for Remote Computation GOMACTech Aaron Jamison Hill, William Mark Severa, Craig Michael Vineyard, Ryan Anthony Dellana, Leah Evelyn Reeder, Felix Wang, James Bradley Aimone, Angel Yanguas-Gil https://www.osti.gov/search/identifier:1639487	Conference Paper – 2019 Conference Paper	2019
Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform Craig Michael Vineyard, Ryan Anthony Dellana, James Bradley Aimone, William Mark Severa https://www.osti.gov/search/identifier:1761866	Report – 2019 Report	2019
Building a Comprehensive Neuromorphic Platform for Remote Computation Gomactech William Mark Severa, Aaron Jamison Hill, Craig Michael Vineyard, Ryan Anthony Dellana, Leah Evelyn Reeder, Felix Wang, James Bradley Aimone, Angel Yanguas-Gil https://www.osti.gov/search/identifier:1592219	Conference Paper – 2019 Conference Paper	2019
Building a Comprehensive Neuromorphic Platform for Remote Computation GOMAC Tech 2019 Craig Michael Vineyard, William Mark Severa, Ryan Anthony Dellana, Leah Evelyn Reeder, Felix Wang, James Bradley Aimone, Angel Yanguas-Gil	Abstract – 2018 Abstract	2018
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication Arxiv William Mark Severa, Craig Michael Vineyard, Ryan Anthony Dellana, Stephen Joseph Verzi, James Bradley Aimone	Journal Article – 2018 Journal Article	2018
Whetstone: An Accessible, Platform-Independent Method for Training Spiking Deep Neural Networks for Neuromorphic Processors International Conference on Neuromorphic Systems (ICONS) 2018 William Mark Severa, Craig Michael Vineyard, Ryan Anthony Dellana, James Bradley Aimone https://www.osti.gov/search/identifier:1806670	Conference Paper – 2018 Conference Paper	2018
Whetstone: An accessible, platform-independent method training spiking deep neural networks for neuromorphic processors International Conference on Neuromorphic Systems William Mark Severa, Ryan Anthony Dellana, Craig Michael Vineyard, James Bradley Aimone https://www.osti.gov/search/identifier:1806636	Conference Paper – 2018 Conference Paper	2018
Whetstone: An Accessible, Platform-Independent Method for Training Spiking Deep Neural Networks for Neuromorphic Processors NICE Workshop William Mark Severa, Craig Michael Vineyard, Ryan Anthony Dellana, James Bradley Aimone https://www.osti.gov/search/identifier:1498219	Conference Paper – 2018 Conference Paper	2018
Document Title	Type	Year

Results 1–25 of 28

Publications

Spiking Neural Approaches to SAR ATR

Biologically Inspired Interception on an Unmanned System

Evaluating complexity and resilience trade-offs in emerging memory inference machines

Mosaic, The Best of Both Worlds: Analog devices with Digital Spiking Communication to build a Hybrid Neural Network Accelerator

Effective Pruning of Binary Activation Networks

Effective Pruning of Binary Activation Neural Networks

Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment

Spike Processing for Improved Radiation Tolerance and Low Power Space Missions

Evaluating complexity and resilience trade-offs in emerging memory inference machines

Device-aware inference operations in SONOS non-volatile memory arrays

Evaluating complexity and resilience trade-offs in emerging memory inference machines

Device-aware inference operations in SONOS non-volatile memory arrays

Mosaics, a technique to make neuromorphic computing scalable, adaptive and flexible

Fugu: Algorithm Development for Neuromorphic Hardware

Neural Inspired Computation Remote Sensing Platform

New Directions in Causality and Causal Modeling

Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform

Building a Comprehensive Neuromorphic Platform for Remote Computation

Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform

Building a Comprehensive Neuromorphic Platform for Remote Computation

Building a Comprehensive Neuromorphic Platform for Remote Computation

Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication

Whetstone: An Accessible, Platform-Independent Method for Training Spiking Deep Neural Networks for Neuromorphic Processors

Whetstone: An accessible, platform-independent method training spiking deep neural networks for neuromorphic processors

Whetstone: An Accessible, Platform-Independent Method for Training Spiking Deep Neural Networks for Neuromorphic Processors