Fred Rothganger, Ph.D.
Neuromorphic Computing
Neuromorphic Computing
Biography
Fred Rothganger is a refugee from the world of Artificial Intelligence. He earned his PhD playing with robots and computer vision at the University of Illinois. After sliding into despair about the inherent ceiling of modern AI techniques, he turned to the brain for answers.
Unfortunately, Fred’s own brain is too small to understand the brain, so he hopes that machines will do it for him. His focus is on building computer tools to assemble comprehensive models. He leads the development of N2A ("Neurons to Algorithms"), a framework for expressing neural dynamics across a wide range of scales.
Fred has published in computational neuroscience, machine vision and robotics. When he gets fed up with lack of progress in the real world, he writes science fiction.
Publications
Asmeret Naugle, Fredrick Rothganger, Stephen Verzi, Casey Doyle, (2022). Conflicting Information and Compliance With COVID-19 Behavioral Recommendations https://doi.org/10.2172/1894426 Publication ID: 80392
Suma Cardwell, Mark Plagge, Clayton Hughes, Fredrick Rothganger, Sapan Agarwal, Benjamin Feinberg, Amro Awad, john mcfarland, Luke Parker, (2022). ATHENA: Analytical Tool for Heterogeneous Neuromorphic Architectures https://doi.org/10.2172/1890038 Publication ID: 80290
Benjamin Feinberg, Sapan Agarwal, Mark Plagge, Fredrick Rothganger, Suma Cardwell, Clayton Hughes, (2022). Modeling Analog Tile-Based Accelerators Using SST https://doi.org/10.2172/1891950 Publication ID: 80362
Fredrick Rothganger, (2021). N2A: a language and software tool for large-scale modeling https://doi.org/10.2172/1899507 Publication ID: 76545
Felix Wang, Fredrick Rothganger, (2021). Introduction to Fugu and N2A, thoughts on lava integration https://doi.org/10.2172/1900326 Publication ID: 76949
Asmeret Naugle, Casey Doyle, Matthew Sweitzer, Fredrick Rothganger, Stephen Verzi, Kiran Lakkaraju, Robert Kittinger, Michael Bernard, Yuguo Chen, Joshua Loyal, Abdullah Mueen, (2021). Emergent Recursive Multiscale Interaction in Complex Systems https://doi.org/10.2172/1821796 Publication ID: 75722
Fredrick Rothganger, Asmeret Naugle, Stephen Verzi, (2021). Behavioral Feedback in Disease Dynamics https://www.osti.gov/servlets/purl/1843095 Publication ID: 75171
Matthew Sweitzer, Robert Kittinger, Casey Doyle, Asmeret Naugle, Kiran Lakkaraju, Fredrick Rothganger, Stephen Verzi, (2020). Communicative Vibration: A Graph-Theoretic Approach to Group Stability in an Online Social Network https://www.osti.gov/servlets/purl/1811443 Publication ID: 74242
Asmeret Naugle, Fredrick Rothganger, Stephen Verzi, (2020). Conflicting Information and Compliance With COVID-19 Stay-At-Home Orders https://www.osti.gov/servlets/purl/1811614 Publication ID: 74254
Casey Doyle, Asmeret Naugle, Michael Bernard, Kiran Lakkaraju, Robert Kittinger, Matthew Sweitzer, Fredrick Rothganger, (2020). Group Formation Theory at Multiple Scales https://doi.org/10.1007/978-3-030-61255-9_17 Publication ID: 73590
Casey Doyle, Asmeret Naugle, Michael Bernard, Kiran Lakkaraju, Robert Kittinger, Matthew Sweitzer, Fredrick Rothganger, (2020). Group Formation Theory at Multiple Scales Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) https://doi.org/10.2172/1831039 Publication ID: 71369
Fredrick Rothganger, Suma Cardwell, (2019). Resilient Computing with Dynamical Systems https://doi.org/10.2172/1569151 Publication ID: 65009
Craig Vineyard, Ryan Dellana, James Aimone, Fredrick Rothganger, William Severa, (2019). Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform https://doi.org/10.1145/3320288.3320300 Publication ID: 70266
Fredrick Rothganger, (2019). Generative Models https://www.osti.gov/servlets/purl/1644482 Publication ID: 67367
Fredrick Rothganger, Craig Vineyard, Arun Rodrigues, (2019). Generic Spiking Architecture (GenSA) https://www.osti.gov/servlets/purl/1639505 Publication ID: 67661
Felix Wang, William Severa, Fredrick Rothganger, (2019). Spatio-Temporal Signals Processing in Polychronizing Spiking Neural Networks https://www.osti.gov/servlets/purl/1639539 Publication ID: 67706
Fredrick Rothganger, (2019). Computation in the Wild https://www.osti.gov/servlets/purl/1644432 Publication ID: 67230
Fredrick Rothganger, (2019). Large-Scale Nerual Modeling with N2A https://www.osti.gov/servlets/purl/1596522 Publication ID: 64524
Natalie Pitcher, Alexander Roesler, Tu Quach, David Stracuzzi, Fredrick Rothganger, Justin Newcomer, (2019). NM Research Spotlight Forum Presentations https://www.osti.gov/biblio/1643846 Publication ID: 65228
Stephen Verzi, Fredrick Rothganger, Ojas Parekh, Tu Quach, Nadine Miner, Craig Vineyard, Conrad James, James Aimone, (2018). Computing with spikes: The advantage of fine-grained timing Neural Computation https://doi.org/10.1162/neco_a_01113 Publication ID: 63758
Fredrick Rothganger, (2018). A neural-inspired software stack https://www.osti.gov/servlets/purl/1498227 Publication ID: 60865
Aaron Hill, Jonathon Donaldson, Fredrick Rothganger, Craig Vineyard, David Follett, Pamela Follett, Michael Smith, Stephen Verzi, William Severa, Felix Wang, James Aimone, John Naegle, Conrad James, (2017). A spike-Timing neuromorphic architecture 2017 IEEE International Conference on Rebooting Computing, ICRC 2017 – Proceedings https://doi.org/10.1109/ICRC.2017.8123631 Publication ID: 58345
Fredrick Rothganger, (2017). Neural Algorithms and Big Data https://www.osti.gov/servlets/purl/1471461 Publication ID: 58473
Stephen Verzi, Ryan Dellana, William Severa, Michael Smith, Fredrick Rothganger, Conrad James, James Aimone, Craig Vineyard, (2017). Steep Deep Spiking Networks https://www.osti.gov/servlets/purl/1464724 Publication ID: 57912
Fredrick Rothganger, (2017). When Machines Start To Think https://www.osti.gov/servlets/purl/1429764 Publication ID: 55930
Fredrick Rothganger, Felix Wang, Fredrick Rothganger, Stephen Levinson, (2017). Designing for Neural Information Processing at Scale https://www.osti.gov/servlets/purl/1574189 Publication ID: 55942
Fredrick Rothganger, (2017). Staying on the path https://www.osti.gov/servlets/purl/1429169 Publication ID: 55401
Kristofor Carlson, Fredrick Rothganger, James Aimone, (2017). Computational perspectives on adult neurogenesis The Rewiring Brain: A Computational Approach to Structural Plasticity in the Adult Brain https://www.osti.gov/servlets/purl/1574646 Publication ID: 49725
Conrad James, James Aimone, Nadine Miner, Craig Vineyard, Fredrick Rothganger, Kristofor Carlson, Samuel Mulder, Timothy Draelos, Aleksandra Faust, Matthew Marinella, John Naegle, Steven Plimpton, (2017). A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications Biologically Inspired Cognitive Architectures https://doi.org/10.1016/j.bica.2016.11.002 Publication ID: 48212
Fredrick Rothganger, Conrad James, James Aimone, (2016). Computing with dynamical systems 2016 IEEE International Conference on Rebooting Computing, ICRC 2016 – Conference Proceedings https://doi.org/10.1109/ICRC.2016.7738701 Publication ID: 47255
Craig Vineyard, James Aimone, Stephen Verzi, Jonathon Donaldson, Michael Smith, Fredrick Rothganger, David Follet, Conrad James, John Naegle, (2016). A neurally inspired spiking temporal processing unit computational architecture https://www.osti.gov/servlets/purl/1526843 Publication ID: 47696
Fredrick Rothganger, (2016). N2A https://www.osti.gov/servlets/purl/1415725 Publication ID: 47773
Fredrick Rothganger, Mark Hoemmen, Eric Phipps, Christina Warrender, (2016). Dynamical System for Resilient Computing https://doi.org/10.2172/1562427 Publication ID: 52479
James Aimone, Kristofor Carlson, Fredrick Rothganger, (2016). Neural Computing: What Scale and Complexity is Needed? https://www.osti.gov/servlets/purl/1367782 Publication ID: 50816
Fredrick Rothganger, (2016). Computing with Dynamical Systems https://doi.org/10.1109/ICRC.2016.7738701 Publication ID: 50417
Fredrick Rothganger, (2016). N2A: A language and software tool for neural modeling https://www.osti.gov/servlets/purl/1340617 Publication ID: 46767
Erik Debenedictis, Fredrick Rothganger, James Aimone, Matthew Marinella, Brian Evans, Christina Warrender, Patrick Mickel, (2015). Cognitive Computing for Security https://doi.org/10.2172/1234812 Publication ID: 42019
Craig Vineyard, James Aimone, Michael Bernard, Kristofor Carlson, Frances Chance, James Forsythe, Conrad James, Fredrick Rothganger, William Severa, Ann Speed, Stephen Verzi, Christina Warrender, John Wagner, Leann Miller, (2015). Neural Computing at Sandia National Laboratories https://www.osti.gov/servlets/purl/1335732 Publication ID: 41869
Fredrick Rothganger, David Follett, John Naegle, Felix Wang, Jonathon Donaldson, Craig Vineyard, Conrad James, James Aimone, (2015). Neural circuit models on emulated hardware https://www.osti.gov/servlets/purl/1332881 Publication ID: 46122
Fredrick Rothganger, Brian Evans, James Aimone, Erik Debenedictis, (2015). Training neural hardware with noisy components Proceedings of the International Joint Conference on Neural Networks https://www.osti.gov/servlets/purl/1249470 Publication ID: 43204
Fredrick Rothganger, Brian Evans, James Aimone, Erik Debenedictis, (2015). Training neural hardware with noisy components https://www.osti.gov/servlets/purl/1257569 Publication ID: 43943
Fredrick Rothganger, Brian Evans, James Aimone, Erik Debenedictis, (2015). Can memristors learn? https://www.osti.gov/servlets/purl/1240117 Publication ID: 42250
Fredrick Rothganger, Conrad James, Kevin DIxon, James Aimone, (2015). Biologically-Inspired Computing at Sandia https://www.osti.gov/servlets/purl/1237876 Publication ID: 41417
Fredrick Rothganger, Derek Trumbo, Christina Warrender, James Aimone, (2014). How to model the whole brain? https://www.osti.gov/servlets/purl/1315167 Publication ID: 39585
Matthew Marinella, Patrick Mickel, Andrew Lohn, David Hughart, Robert Bondi, Denis Mamaluy, Harold Hjalmarson, James Stevens, Seth Decker, Roger Apodaca, Brian Evans, James Aimone, Fredrick Rothganger, Conrad James, Erik Debenedictis, (2014). Development Characterization and Modeling of a TaOx ReRAM for a Neuromorphic Accelerator https://doi.org/10.1149/06414.0037ecst Publication ID: 38905
Matthew Marinella, Patrick Mickel, Andrew Lohn, David Hughart, Robert Bondi, Denis Mamaluy, Harold Hjalmarson, James Stevens, Seth Decker, Roger Apodaca, Brian Evans, James Aimone, Fredrick Rothganger, Conrad James, Erik Debenedictis, (2014). Development characterization and modeling of a TaOx ReRAM for a neuromorphic accelerator https://doi.org/10.2172/1241888 Publication ID: 38906
Jonathan McClain, Fredrick Rothganger, Derek Trumbo, Christina Warrender, (2013). An Image/Text Fusion Algorithm for Intelligent Web Crawling https://www.osti.gov/servlets/purl/1666065 Publication ID: 34865
Derek Trumbo, Christina Warrender, James Aimone, Corinne Teeter, Fredrick Rothganger, (2012). Neurons to Algorithms neural circuit model development platform https://www.osti.gov/biblio/1061129 Publication ID: 29882
Fredrick Rothganger, Christina Warrender, Ann Speed, Brandon Rohrer, Asmeret Naugle, Derek Trumbo, (2011). Connecting Cognitive and Neural Models https://www.osti.gov/servlets/purl/1118518 Publication ID: 25212
Brandon Rohrer, James Morrow, Fredrick Rothganger, Patrick Xavier, John Wagner, (2011). Final report for LDRD project 11-0783 : directed robots for increased military manpower effectiveness https://doi.org/10.2172/1029758 Publication ID: 24744
Stephen Verzi, Brandon Rohrer, Patrick Xavier, Fredrick Rothganger, (2011). Neurons to Algorithms https://www.osti.gov/servlets/purl/1671628 Publication ID: 21738
Fredrick Rothganger, Brandon Rohrer, Stephen Verzi, Patrick Xavier, (2010). Modeling cortical circuits https://doi.org/10.2172/1008124 Publication ID: 19889
Fredrick Rothganger, (2009). Information in Living Systems https://www.osti.gov/servlets/purl/1695586 Publication ID: 16776
Fredrick Rothganger, (2008). Cognitive Science https://www.osti.gov/servlets/purl/1700570 Publication ID: 15390
Fredrick Rothganger, (2008). Embodiment https://www.osti.gov/servlets/purl/1700551 Publication ID: 15258
Daniel Myers, Fredrick Rothganger, Kurt Larson, (2007). Implementing wide baseline matching algorithms on a graphics processing unit https://doi.org/10.2172/921737 Publication ID: 11493
Fredrick Rothganger, (2007). SLAM using camera and IMU sensors https://doi.org/10.2172/961651 Publication ID: 9573
Showing Results.
Conference Presentations
- F. Rothganger (2014). N2A: A neuroinformatics framework. Neuro-inspired Computational Elements (NiCE), Albuquerque, NM, February 25.
- F. Rothganger, C. Warrender, A. Speed, B. Rohrer, A. Bier, D. Trumbo (2011). Connecting Cognitive and Neural Models. Biologically Inspired Cognitive Architectures: 329-330.
- F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce (2003) 3D Object Modeling and Recognition Using Affine-Invariant Patches and Multi-View Spatial Constraints. CVPR II:272-277, June, Madison, WI.
- A. Sudsang, F. Rothganger, and J. Ponce (2001). An Implemented Planner for Manipulating a Polygonal Object in the Plane with Three Disc-Shaped Mobile Robots. IROS, Maui, Hawaii.