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Publication	Type	Year
Neural Mini-Apps: Lighter, Faster Diagnostic Tests for Neuromorphic Computing James Bradley Aimone, Suma George Cardwell, Frances S. Chance, Srideep Musuvathy, Fredrick Rothganger, William Mark Severa, John Darby Smith, Corinne Michelle Teeter, Craig Michael Vineyard, Felix Wang	Marketing or Promotional – 2022 Marketing or Promotional	2022
Benchmarking a Bio-inspired SNN on a Neuromorphic System NICE 2022Neuro-Inspired Computational Elements Conference Luke Garrison Parker, Frances S. Chance, Suma George Cardwell	Conference Presentation – 2022 Conference Presentation	2022
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight Neuro-Inspired Computational Elements (NICE) Workshop 2022 Craig Michael Vineyard, James Bradley Aimone, Suma George Cardwell, Frances S. Chance, Srideep Musuvathy, Fredrick Rothganger, John Darby Smith, William Mark Severa, Corinne Michelle Teeter, Felix Wang	Conference Presentation – 2022 Conference Presentation	2022
Codesign of Next-Generation Neuromorphic Architectures UT-Austin Sandia Day 2022 James Boyle, Frances S. Chance, Suma George Cardwell, Mark Plagge, Andreas Gerstlauer	Display or Poster (non-conference) – 2022 Display or Poster (non-conference)	2022
Benchmarking a Bio-inspired SNN on a Neuromorphic System NICE 2022Neuro-Inspired Computational Elements Conference Luke Garrison Parker, Frances S. Chance, Suma George Cardwell	Conference Proceeding – 2022 Conference Proceeding	2022
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight The 9th Annual Neuro-Inspired Computational Elements (NICE) workshop Craig Michael Vineyard, Suma George Cardwell, Frances S. Chance, Srideep Musuvathy, Fredrick Rothganger, William Mark Severa, John Darby Smith, Corinne Michelle Teeter, Felix Wang, James Bradley Aimone	Conference Proceeding – 2022 Conference Proceeding	2022
Neuroscience-Inspired Approaches to Low-Power Computing 2022 Energy Consequences of Information Workshop Frances S. Chance, Suma George Cardwell, Gonzalez-Bellido, Scott Koziol	Conference Presentation – 2022 Conference Presentation	2022
Lessons from dragonflies for neuromorphic computing MARCUS project meeting Frances S. Chance	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
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
Lessons from a dragonfly?s brain for neuromorphic computing invited briefing at Lockheed Martin Frances S. Chance	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Implementation of Dragonfly Interception Model on Neuromorphic Hardware International Conference on Neuromorphic Systems Luke Garrison Parker, Frances S. Chance, Suma George Cardwell	Conference Presentation – 2021 Conference Presentation	2021
Lessons from Dragonflies in Brain-inspired Computing Society for Brain Mapping & Therapeutics Annual Congress Frances S. Chance	Conference Presentation – 2021 Conference Presentation	2021
Dragonfly AI: The computer bug you want IEEE Spectrum Frances S. Chance https://www.osti.gov/search/identifier:1834329	Journal Article – 2021 Journal Article	2021
Not all computer bugs are bad: Looking to insects for neural-inspired computing Modeling and Computation Seminar at the University of Arizona (Dept. of Mathematics) Frances S. Chance https://www.osti.gov/search/identifier:1866336	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Neuromorphic Processing and Sensing for Interception Frances S. Chance https://www.osti.gov/search/identifier:1665934	Report – 2020 Report	2020
Interception from a Dragonfly Neural Network Model ICONS Conference International Conference on Neuromorphic Systems Frances S. Chance https://www.osti.gov/search/identifier:1805334	Conference Paper – 2020 Conference Paper	2020
Dragonfly-Inspired Interception CSRI Summer Student Seminar Series Frances S. Chance https://www.osti.gov/search/identifier:1807436	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence Frontiers in Computational Neuroscience Frances S. Chance, James Bradley Aimone, Srideep Musuvathy, Michael Reed Smith, Craig Michael Vineyard, Felix Wang https://www.osti.gov/search/identifier:1617318	Journal Article – 2020 Journal Article	2020
Truly heterogeneous HPC: co-design to achieve what science needs from HPC Smoky Mountains Computational Sciences & Engineering Conference Suma George Cardwell, James Bradley Aimone, Craig Michael Vineyard, William Mark Severa, Frances S. Chance	Abstract – 2020 Abstract	2020
Not all computer bugs are bad: What can we learn from insects for neural-inspired computing? Sandia New Ideas Research Forum Frances S. Chance https://www.osti.gov/search/identifier:1772539	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
A biologically-inspired approach to interception EDFA Magazine Frances S. Chance	Journal Article – 2020 Journal Article	2020
Dragonflies A Lesson in Missile Defense Sandia Emeritus Event Frances S. Chance https://www.osti.gov/search/identifier:1768147	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Lessons from dragonflies in brain-inspired computing Society for Brain Mapping and Therapeutics Annual Congress Frances S. Chance	Abstract – 2019 Abstract	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
Dragonfly-Inspired Algorithms for Intercept Trajectory Planning Frances S. Chance https://www.osti.gov/search/identifier:1569338	SAND Report – 2019 SAND Report	2019
Document Title	Type	Year

Results 1–25 of 51

Publications

Neural Mini-Apps: Lighter, Faster Diagnostic Tests for Neuromorphic Computing

Benchmarking a Bio-inspired SNN on a Neuromorphic System

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

Codesign of Next-Generation Neuromorphic Architectures

Benchmarking a Bio-inspired SNN on a Neuromorphic System

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

Neuroscience-Inspired Approaches to Low-Power Computing

Lessons from dragonflies for neuromorphic computing

Biologically Inspired Interception on an Unmanned System

Lessons from a dragonfly?s brain for neuromorphic computing

Implementation of Dragonfly Interception Model on Neuromorphic Hardware

Lessons from Dragonflies in Brain-inspired Computing

Dragonfly AI: The computer bug you want

Not all computer bugs are bad: Looking to insects for neural-inspired computing

Neuromorphic Processing and Sensing for Interception

Interception from a Dragonfly Neural Network Model

Dragonfly-Inspired Interception

Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence

Truly heterogeneous HPC: co-design to achieve what science needs from HPC

Not all computer bugs are bad: What can we learn from insects for neural-inspired computing?

A biologically-inspired approach to interception

Dragonflies A Lesson in Missile Defense

Lessons from dragonflies in brain-inspired computing

Fugu: Algorithm Development for Neuromorphic Hardware

Dragonfly-Inspired Algorithms for Intercept Trajectory Planning