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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
Distributed Localization with Grid-based Representations on Digital Elevation Models International Conference on Neuromorphic Systems Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone	Conference Presentation – 2022 Conference Presentation	2022
Distributed Localization with Grid-based Representations on Digital Elevation Models International Conference on Neuromorphic Systems Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone	Conference Paper – 2022 Conference Paper	2022
Navigating with NeuroGrid: Incorporating a Novel, Bio-Inspired Measurement into a Navigation Filter Autonomy for Hypersonics Field Day Kristen Michaelson, Felix Wang, Renato Zanetti	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
Localization through Grid-based Encodings on Digital Elevation Models Neuro-Inspired Computational Elements Workshop Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone	Conference Presentation – 2022 Conference Presentation	2022
Biological underpinnings for lifelong learning machines Nature Machine Intelligence Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Daro Urbina-Melndez, Francisco .J Valero-Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava Siegelmann https://www.osti.gov/search/identifier:1870446	Journal Article – 2022 Journal Article	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
NeuroGrid: Robust Autonomous Localization using Multi Resolution Grid Codes UT-Austin Sandia Day 2022 Felix Wang, Kristen Michaelson, Renato Zanetti	Display or Poster (non-conference) – 2022 Display or Poster (non-conference)	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
Localization through Grid-based Encodings on Digital Elevation Models Neuro-Inspired Computational Elements Workshop Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone	Conference Paper – 2022 Conference Paper	2022
Introduction to Fugu and N2A, thoughts on lava integration Lava Developer Forum Felix Wang, Fredrick Rothganger	Conference Presentation – 2021 Conference Presentation	2021
Job Modeling for Power Forecasting and Analysis on the Astra Supercomputer IEEE International Parallel and Distributed Processing Symposium (IPDPS) Felix Wang, Kevin Pedretti, Craig Michael Vineyard, Andrew J Younge https://www.osti.gov/search/identifier:1830925	Conference Paper – 2020 Conference Paper	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
Machines Learning about Machines - ML for Analysis and Control of HPC Infrastructure Conference on Data Analysis (CoDA) 2020 Felix Wang, Sam Green, Kevin Pedretti, Craig Michael Vineyard, Andrew J Younge https://www.osti.gov/search/identifier:1767893	Conference Paper – 2020 Conference Paper	2020
Machines Learning about Machines ? ML for Analysis & Control of HPC Infrastructure Conference on Data Analysis (CoDA) 2020 Craig Michael Vineyard, Felix Wang, Kevin Pedretti, Andrew Charles Young, Sam Green	Abstract – 2020 Abstract	2020
Context-modulation of hippocampal dynamics and deep convolutional networks Neuroscience 2019 Felix Wang, William Mark Severa, James Bradley Aimone https://www.osti.gov/search/identifier:1642866	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
BrainSLAM Felix Wang, James Bradley Aimone, Srideep Musuvathy, Abrar Anwar https://www.osti.gov/search/identifier:1569159	Report – 2019 Report	2019
State Representation Learning for Deep Planning Sandia Machine Learning and Deep Learning Workshop 2019 Felix Wang, Sam Green, William Mark Severa https://www.osti.gov/search/identifier:1641498	Conference Paper – 2019 Conference Paper	2019
State Representation Learning for Deep Planning Sandia Machine Learning and Deep Learning Workshop 2019 Felix Wang, Sam Green, William Mark Severa https://www.osti.gov/search/identifier:1641483	Conference Paper – 2019 Conference Paper	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
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
The insect brain as a model system for low power electronics and edge processing applications Space Computing Conference Angel Yanguas-Gil, Anil Mane, Jeffery W. Elam, Felix Wang, William Mark Severa, Anurag Reddy Daram, Dhireesha Kudithipudi https://www.osti.gov/search/identifier:1641060	Conference Paper – 2019 Conference Paper	2019
Acquisition and Representation of Spatio-Temporal Signals in Polychronizing Spiking Neural Networks Neuro-inspired Computational Elements Workshop Proceedings Felix Wang, William Mark Severa, Fredrick Rothganger https://www.osti.gov/search/identifier:1575266	Journal Article – 2019 Journal Article	2019
Spatio-Temporal Signals Processing in Polychronizing Spiking Neural Networks 2019 Neuro-Inspired Computational Elements Workshop Felix Wang, William Mark Severa, Fredrick Rothganger https://www.osti.gov/search/identifier:1639539	Conference Paper – 2019 Conference Paper	2019
Document Title	Type	Year

Results 1–25 of 35

Publications

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

Distributed Localization with Grid-based Representations on Digital Elevation Models

Distributed Localization with Grid-based Representations on Digital Elevation Models

Navigating with NeuroGrid: Incorporating a Novel, Bio-Inspired Measurement into a Navigation Filter

Localization through Grid-based Encodings on Digital Elevation Models

Biological underpinnings for lifelong learning machines

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

NeuroGrid: Robust Autonomous Localization using Multi Resolution Grid Codes

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

Localization through Grid-based Encodings on Digital Elevation Models

Introduction to Fugu and N2A, thoughts on lava integration

Job Modeling for Power Forecasting and Analysis on the Astra Supercomputer

Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence

Machines Learning about Machines - ML for Analysis and Control of HPC Infrastructure

Machines Learning about Machines ? ML for Analysis & Control of HPC Infrastructure

Context-modulation of hippocampal dynamics and deep convolutional networks

Fugu: Algorithm Development for Neuromorphic Hardware

BrainSLAM

State Representation Learning for Deep Planning

State Representation Learning for Deep Planning

Neuromorphic Computing Algorithms and Architecture Research at Sandia

New Directions in Causality and Causal Modeling

The insect brain as a model system for low power electronics and edge processing applications

Acquisition and Representation of Spatio-Temporal Signals in Polychronizing Spiking Neural Networks

Spatio-Temporal Signals Processing in Polychronizing Spiking Neural Networks