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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
Neuromorphic scaling advantages for energy-efficient random walk computations Nature Electronics John Darby Smith, Aaron Jamison Hill, Reeder Leah, Brian C. Franke, Richard B. Lehoucq, Ojas D. Parekh, William Mark Severa, James Bradley Aimone https://www.osti.gov/search/identifier:1845387	Journal Article – 2022 Journal Article	2022
Spiking Neural Streaming Binary Arithmetic IEEE International Conference on Rebooting Computing (ICRC 2021) James Bradley Aimone, Aaron Jamison Hill, William Mark Severa, Craig Michael Vineyard	Conference Paper – 2021 Conference Paper	2021
An introduction to neuromorphic computing and its potential impact for unattended ground sensors Aaron Jamison Hill, Craig Michael Vineyard https://www.osti.gov/search/identifier:1826263	Report – 2021 Report	2021
Neuromorphic scaling advantages for energy-efficient random walk computations John Darby Smith, Aaron Jamison Hill, Leah Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas D. Parekh, William Mark Severa, James Bradley Aimone https://www.osti.gov/search/identifier:1671377	SAND Report – 2020 SAND Report	2020
Solving a steady-state pde using spiking networks and neuromorphic hardware International Conference on Neuromorphic Systems John Darby Smith, William Mark Severa, Aaron Jamison Hill, Leah Reeder, Ojas D. Parekh, Brian C. Franke, Richard B. Lehoucq, James Bradley Aimone https://www.osti.gov/search/identifier:1813714	Conference Paper – 2020 Conference Paper	2020
Solving a steady-state pde using spiking networks and neuromorphic hardware International Conference on Neuromorphic Systems John Darby Smith, William Mark Severa, Aaron Jamison Hill, Leah Evelyn Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas D. Parekh, James Bradley Aimone https://www.osti.gov/search/identifier:1808426	Conference Paper – 2020 Conference Paper	2020
Solving IPDEs on Spiking Neuromorphic Hardware Joint Math Meetings John Darby Smith, James Bradley Aimone, Brian C. Franke, Aaron Jamison Hill, Richard B. Lehoucq, Ojas D. Parekh, Leah Evelyn Reeder, William Mark Severa https://www.osti.gov/search/identifier:1761032	Conference Paper – 2020 Conference Paper	2020
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
Neuromorphic Computing Algorithms and Architecture Research at Sandia Ccd Titans Intern Tech Talk Aaron Jamison Hill, Jonathon W. Donaldson, Fredrick H. Rothganger, Craig Michael Vineyard, David R. Follett, Pamela L. Follett, Michael Reed Smith, Stephen Joseph Verzi, William Mark Severa, Felix Wang, James Bradley Aimone, John H. Naegle, Conrad D. James https://www.osti.gov/search/identifier:1645676	Presentation (non-conference) – 2019 Presentation (non-conference)	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
Applications of Random Walks Utilizing Neuromorphic Computing Neuro Inspired Computational Elements Workshop (NICE) Leah Evelyn Reeder, James Bradley Aimone, William Mark Severa, Aaron Jamison Hill https://www.osti.gov/search/identifier:1639488	Conference Paper – 2019 Conference Paper	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
Neural Algorithms for Low Power Implementation of Partial Differential Equations James Bradley Aimone, Aaron Jamison Hill, Richard B. Lehoucq, Ojas D. Parekh, Leah Evelyn Reeder, William Mark Severa https://www.osti.gov/search/identifier:1474253	SAND Report – 2018 SAND Report	2018
Exploring Applications of Random Walks on Spiking Neural Algorithms Leah Evelyn Reeder, Aaron Jamison Hill, James Bradley Aimone, William Mark Severa https://www.osti.gov/search/identifier:1471656	Report – 2018 Report	2018
Neuromorphic Hardware Implementation of Spiking Algorithms for Markov Random Walks 2018 International Conference on Neuromorphic Systems (ICONS) James Bradley Aimone, Aaron Jamison Hill, Richard B. Lehoucq, Ojas D. Parekh, William Mark Severa https://www.osti.gov/search/identifier:1582258	Conference Paper – 2018 Conference Paper	2018
TrueNorth Implementation of a Temporally Coded Spiking Cross-Correlation Algorithm for Particle Image Velocimetry International Conference on Rebooting Computing Aaron Jamison Hill, William Mark Severa, James Bradley Aimone https://www.osti.gov/search/identifier:1480592	Conference Paper – 2017 Conference Paper	2017
A Spike-Timing Neuromorphic Architecture IEEE International Conference on Rebooting Computing (ICRC 2017) Aaron Jamison Hill, Jonathon W. Donaldson, Fredrick Rothganger, Craig Michael Vineyard, David R. Follett, Pamela L. Follett, Michael Reed Smith, Stephen Joseph Verzi, William Mark Severa, Felix Wang, James Bradley Aimone, John H. Naegle, Conrad D. James https://www.osti.gov/search/identifier:1470698	Conference Paper – 2017 Conference Paper	2017
Hardware Spike Timing for Accelerating Computational Algorithms IEEE International Conference on Rebooting Computing William Mark Severa, Aaron Jamison Hill, Conrad D. James, James Bradley Aimone	Abstract – 2017 Abstract	2017
A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to LSMs The 2017 International Joint Conference on Neural Networks (IJCNN 2017) Michael Reed Smith, Aaron Jamison Hill, Kristofor David Carlson, Craig Michael Vineyard, Jonathon W. Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James Bradley Aimone https://www.osti.gov/search/identifier:1457873	Conference Paper – 2017 Conference Paper	2017
An Efficient Implementation of a Liquid State Machine on the Spiking Temporal Processing Unit Neuro Inspired Computational Elements Workshop Michael Reed Smith, Aaron Jamison Hill, Kristofor David Carlson, Craig Michael Vineyard, Jonathon W. Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James Bradley Aimone https://www.osti.gov/search/identifier:1427932	Conference Paper – 2017 Conference Paper	2017
An Efficient Implementation of a LSM on the Spiking Temporal Processing Unit Neuro Inspired Computational Elements Workshop Michael Reed Smith, Aaron Jamison Hill, Kristofor David Carlson, Craig Michael Vineyard, Jonathon W. Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James Bradley Aimone, Michael Reed Smith, Michael Reed Smith https://www.osti.gov/search/identifier:1427931	Conference Paper – 2017 Conference Paper	2017
Implementation of a Liquid State Machine with Temporal Dynamics on a Novel Spiking Neuromorphic Architecture Workshop on Neuromorphic Computing and Algorithms, WI-BIH'16 Michael Reed Smith, Aaron Jamison Hill, Kristofor David Carlson, Craig Michael Vineyard, Jonathon W. Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James Bradley Aimone https://www.osti.gov/search/identifier:1405258	Conference Paper – 2016 Conference Paper	2016
Document Title	Type	Year

Publications

Spiking Neural Approaches to SAR ATR

Neuromorphic scaling advantages for energy-efficient random walk computations

Spiking Neural Streaming Binary Arithmetic

An introduction to neuromorphic computing and its potential impact for unattended ground sensors

Neuromorphic scaling advantages for energy-efficient random walk computations

Solving a steady-state pde using spiking networks and neuromorphic hardware

Solving a steady-state pde using spiking networks and neuromorphic hardware

Solving IPDEs on Spiking Neuromorphic Hardware

Neural Inspired Computation Remote Sensing Platform

Neuromorphic Computing Algorithms and Architecture Research at Sandia

Building a Comprehensive Neuromorphic Platform for Remote Computation

Applications of Random Walks Utilizing Neuromorphic Computing

Building a Comprehensive Neuromorphic Platform for Remote Computation

Neural Algorithms for Low Power Implementation of Partial Differential Equations

Exploring Applications of Random Walks on Spiking Neural Algorithms

Neuromorphic Hardware Implementation of Spiking Algorithms for Markov Random Walks

TrueNorth Implementation of a Temporally Coded Spiking Cross-Correlation Algorithm for Particle Image Velocimetry

A Spike-Timing Neuromorphic Architecture

Hardware Spike Timing for Accelerating Computational Algorithms

A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to LSMs

An Efficient Implementation of a Liquid State Machine on the Spiking Temporal Processing Unit

An Efficient Implementation of a LSM on the Spiking Temporal Processing Unit

Implementation of a Liquid State Machine with Temporal Dynamics on a Novel Spiking Neuromorphic Architecture