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Publication	Type	Year
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
Tracking Cyber Adversaries with Adaptive Indicators of Compromise 4th Annual Conf. on Computational Science & Computational Intelligence; THE 2017 INTERNATIONAL SYMPOSIUM ON CYBER WARFARE, CYBER DEFENSE, AND SECURITY Justin E Doak, Joey Burton Ingram, Samuel A. Mulder, John H. Naegle, Jonathan A. Cox, James Bradley Aimone, Kevin R. Dixon, Conrad D. James, David R. Follett https://www.osti.gov/search/identifier:1486988	Conference Paper – 2017 Conference Paper	2017
Tracking Cyber Adversaries with Adaptive Indicators of Compromise 4th Annual Conf. on Computational Science & Computational Intelligence; THE 2017 INTERNATIONAL SYMPOSIUM ON CYBER WARFARE, CYBER DEFENSE, AND SECURITY Justin E Doak, Justin E Doak, Joey Burton Ingram, Joey Burton Ingram, Samuel A. Mulder, Samuel A. Mulder, John H. Naegle, John H. Naegle, Jonathan A. Cox, Jonathan A. Cox, James Bradley Aimone, James Bradley Aimone, Kevin R. Dixon, Kevin R. Dixon, Conrad D. James, Conrad D. James, David R. Follet, David R. Follet https://www.osti.gov/search/identifier:1511128	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
Neuromorphic Data Microscope ACM Journal of Emerging Technologies John H. Naegle, Roger A. Suppona, James Bradley Aimone, Conrad D. James, David R. Follett, Duncan C.M. Townsend, Pamela L. Follett, Gabe D. Karpman https://www.osti.gov/search/identifier:1478335	Journal Article – 2017 Journal Article	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
Hot Chips 2017 Abstract: Neuromorphic Data Microscope Hot Chips 29 (2017) John H. Naegle, Roger A. Suppona, James Bradley Aimone, Conrad D. James, David R. (LRL) Follett, Duncan C. M. (LRL) Townsend, Gabe D. (LRL) Karpman	Abstract – 2017 Abstract	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
A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications Biologically Inspired Cognitive Architectures Conrad D. James, James Bradley Aimone, Nadine E. Miner, Craig Michael Vineyard, Fredrick Rothganger, Kristofor David Carlson, Samuel A. Mulder, Timothy J. Draelos, Aleksandra Faust, Matthew Marinella, John H. Naegle, Steven J. Plimpton https://www.osti.gov/search/identifier:1340263	Journal Article – 2016 Journal Article	2016
A neurally inspired spiking temporal processing unit computational architecture Society for Neuroscience 2016 Craig Michael Vineyard, James Bradley Aimone, Stephen Joseph Verzi, Jonathon W. Donaldson, Michael Reed Smith, Fredrick Rothganger, David R. Follet, Conrad D. James, John H. Naegle https://www.osti.gov/search/identifier:1526843	Conference Paper – 2016 Conference Paper	2016
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
A neurally inspired spiking temporal processing unit computational architecture Society for Neuroscience 2016 meeting Craig Michael Vineyard, James Bradley Aimone, Michael Reed Smith, Stephen Joseph Verzi, Gabriel ANUOLUWAPO Popoola, Felix Wang, Jonathon W. Donaldson, Pamela Follett, David Follett, Conrad D. James, John H. Naegle	Abstract – 2016 Abstract	2016
A neurally inspired spiking temporal processing unit architecture Society for Neuroscience 2016 meeting Craig Michael Vineyard, James Bradley Aimone, Michael Reed Smith, Stephen Joseph Verzi, Gabriel ANUOLUWAPO Popoola, Felix Wang, Jonathon W. Donaldson, Pamela Follett, David Follett, Conrad D. James, John H. Naegle	Abstract – 2016 Abstract	2016
Neural circuit models on emulated hardware Society for Neuroscience Annual Meeting 2015 Fredrick Rothganger, David Follett, John H. Naegle, Felix Wang, Jonathon W. Donaldson, Craig Michael Vineyard, Conrad D. James, James Bradley Aimone https://www.osti.gov/search/identifier:1332881	Conference Paper – 2015 Conference Paper	2015
Hardware Acceleration of Adaptive Neural Algorithms (HAANA) Internal Sandia Labs Seminar - Dean Seminar Conrad D. James, James Bradley Aimone, John H. Naegle, Steven J. Plimpton, Matthew Marinella, Justin E Doak, David (Lewis Rhodes Labs) Follett	Abstract – 2015 Abstract	2015
Hardware Acceleration of Adaptive Neural Algorithms (HAANA) Internal Sandia Labs Seminar - Dean Seminar Conrad D. James, James Bradley Aimone, Steven J. Plimpton, John H. Naegle, Matthew Marinella, Kevin R. Dixon, David (Lewis Rhodes Labs) Follett https://www.osti.gov/search/identifier:1249448	Presentation (non-conference) – 2015 Presentation (non-conference)	2015
Investigating the Effectiveness of Many-core Network Processors for High Performance Cyber Protection Systems (PART I - FY2011) Richard Paul Kromer, Joshua Alan Johnson, John H. Naegle, Jay Dashrathbhai Patel, David Benjamin Pearson, Jeffery Scott Shelburg, Kyle Bruce Wheeler, Brian J Wright, David John Zage, Uzoma Onunkwo https://www.osti.gov/search/identifier:1029789	SAND Report – 2011 SAND Report	2011
HPC Top 10 InfiniBand Machine A 3D Torus IB Interconnect on Red SkyA 3D Torus IB Interconnect on Red Sky Sonoma Workshop - OpenFabrics Alliance John H. Naegle, Stephen T. Monk, James A. Schutt, Douglas W. Doerfler, Mahesh Rajan, Matthew P. Bohnsack https://www.osti.gov/search/identifier:988974	Conference Paper – 2010 Conference Paper	2010
Document Title	Type	Year

Publications

Neuromorphic Computing Algorithms and Architecture Research at Sandia

Tracking Cyber Adversaries with Adaptive Indicators of Compromise

Tracking Cyber Adversaries with Adaptive Indicators of Compromise

A Spike-Timing Neuromorphic Architecture

Neuromorphic Data Microscope

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

Hot Chips 2017 Abstract: Neuromorphic Data Microscope

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

A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications

A neurally inspired spiking temporal processing unit computational architecture

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

A neurally inspired spiking temporal processing unit computational architecture

A neurally inspired spiking temporal processing unit architecture

Neural circuit models on emulated hardware

Hardware Acceleration of Adaptive Neural Algorithms (HAANA)

Hardware Acceleration of Adaptive Neural Algorithms (HAANA)

Investigating the Effectiveness of Many-core Network Processors for High Performance Cyber Protection Systems (PART I - FY2011)

HPC Top 10 InfiniBand Machine A 3D Torus IB Interconnect on Red SkyA 3D Torus IB Interconnect on Red Sky