Strategic Considerations for Neuromorphic Computing - Craig M. Vineyard; William M. Severa; James B. Aimone (International Conference on Neuromorphic Systems, ICONS 2024, Arlington, VA, USA, July 30 - Aug. 2, 2024, 2024)

Research Challenges for Energy-Efficient Computing in Automated Vehicles - Robert P. Dick; Rob Aitken; Jace Mogill; John Paul Strachan; Kirk Bresniker; Wei Lu; Yorie Nakahira; Zhiyong Li; Matthew J. Marinella; William Severa; A. Alec Talin; Craig M. Vineyard; et al. (Computer, 2023)

Context Modulation Enables Multi-tasking and Resource Efficiency in Liquid State Machines - Peter Helfer; Corinne Teeter; Aaron J. Hill; Craig M. Vineyard; James B. Aimone; Dhireesha Kudithipudi (Proceedings of the 2023 International Conference on Neuromorphic Systems, ICONS 2023, Santa Fe, NM, USA, August 1-3, 2023, 2023)

Neuromorphic Population Evaluation using the Fugu Framework - William Severa; Suma George Cardwell; Michael Krygier; Fredrick H. Rothganger; Craig Michael Vineyard (Proceedings of the 2023 International Conference on Neuromorphic Systems, ICONS 2023, Santa Fe, NM, USA, August 1-3, 2023, 2023)

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking - Jason Yik; Soikat Hasan Ahmed; Zergham Ahmed; Brian Anderson; Andreas G. Andreou; Chiara Bartolozzi; Arindam Basu; Douwe den Blanken; Petrut Bogdan; Sander M. Bohté; Younes Bouhadjar; Sonia M. Buckley; et al. (CoRR, 2023)

Neuromorphic Co-Design as a Game - Craig M. Vineyard; William M. Severa; James B. Aimone (CoRR, 2023)

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight - Craig M. Vineyard; Suma Cardwell; Frances S. Chance; Srideep Musuvathy; Fred Rothganger; William Severa; John Darby Smith; Corinne Teeter; Felix Wang; James B. Aimone (NICE 2022: Neuro-Inspired Computational Elements Conference, Virtual Event, USA, 28 March 2022- 1 April 2022, 2022)

Spiking Neural Streaming Binary Arithmetic - James B. Aimone; Aaron J. Hill; William M. Severa; Craig M. Vineyard (CoRR, 2022)

Spiking Neural Streaming Binary Arithmetic - James B. Aimone; Aaron J. Hill; William M. Severa; Craig M. Vineyard (2021 International Conference on Rebooting Computing (ICRC), Los Alamitos, CA, USA, November 30 - Dec. 2, 2021, 2021)

Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence - Frances S. Chance; James B. Aimone; Srideep Musuvathy; Michael R. Smith; Craig M. Vineyard; Felix Wang (Frontiers Comput. Neurosci., 2020)

Low-Complexity Fixed-Point Convolutional Neural Networks For Automatic Target Recognition - Hassan Dbouk; Hanfei Geng; Craig M. Vineyard; Naresh R. Shanbhag (2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020, 2020)

Effective Pruning of Binary Activation Neural Networks - William Severa; Ryan Dellana; Craig M. Vineyard (Proceedings of the International Conference on Neuromorphic Systems, ICONS 2020, Oak Ridge, Tennessee, USA, July, 2020, 2020)

RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search - Sam Green; Craig M. Vineyard; Ryan Helinski; Çetin Kaya Koç (2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, 2020)

Comparing Neural Accelerators & Neuromorphic Architectures The False Idol of Operations - Craig M. Vineyard; Mark Plagge; Sam Green (NICE '20: Neuro-inspired Computational Elements Workshop, Heidelberg, Germany, March 17-20, 2020, 2020)

Energy-Efficient Target Recognition using ReRAM Crossbars for Enabling On-Device Intelligence - Sourav Sanyal; Aayush Ankit; Craig M. Vineyard; Kaushik Roy (IEEE Workshop on Signal Processing Systems, SiPS 2020, Coimbra, Portugal, October 20-22, 2020, 2020)

Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC - Suma George Cardwell; Craig M. Vineyard; William Severa; Frances S. Chance; Fredrick H. Rothganger; Felix Wang; Srideep Musuvathy; Corinne Teeter; James B. Aimone (Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI - 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Oak Ridge, TN, USA, August 26-28, 2020, Revised Selected Papers, 2020)

Training deep neural networks for binary communication with the Whetstone method - William Severa; Craig M. Vineyard; Ryan Dellana; Stephen J. Verzi; James B. Aimone (Nat. Mach. Intell., 2019)

Composing neural algorithms with Fugu - James B. Aimone; William Severa; Craig M. Vineyard (Proceedings of the International Conference on Neuromorphic Systems, ICONS 2019, Knoxville, Tennessee, USA, July 23-25, 2019, 2019)

Benchmarking Event-Driven Neuromorphic Architectures - Craig M. Vineyard; Sam Green; William M. Severa; Çetin Kaya Koç (Proceedings of the International Conference on Neuromorphic Systems, ICONS 2019, Knoxville, Tennessee, USA, July 23-25, 2019, 2019)

Distillation Strategies for Proximal Policy Optimization - Sam Green; Craig M. Vineyard; Çetin Kaya Koç (CoRR, 2019)

Composing Neural Algorithms with Fugu - James B. Aimone; William Severa; Craig M. Vineyard (CoRR, 2019)

RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search - Sam Green; Craig M. Vineyard; Ryan Helinski; Çetin Kaya Koç (CoRR, 2019)

Computing with Spikes: The Advantage of Fine-Grained Timing - Stephen J. Verzi; Fredrick H. Rothganger; Ojas Parekh; Tu-Thach Quach; Nadine E. Miner; Craig M. Vineyard; Conrad D. James; James B. Aimone (Neural Comput., 2018)

Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance - Sam Green; Craig M. Vineyard; Çetin Kaya Koç (2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018, 2018)

Mathematical Optimizations for Deep Learning - Sam Green; Craig M. Vineyard; Çetin Kaya Koç (Cyber-Physical Systems Security, 2018)

Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication - William Severa; Craig M. Vineyard; Ryan Dellana; Stephen J. Verzi; James B. Aimone (CoRR, 2018)

A Spike-Timing Neuromorphic Architecture - Aaron J. Hill; Jonathon W. Donaldson; Fredrick H. Rothganger; Craig M. Vineyard; David R. Follett; Pamela L. Follett; Michael R. Smith; Stephen J. Verzi; William Severa; Felix Wang; James B. Aimone; John H. Naegle; et al. (IEEE International Conference on Rebooting Computing, ICRC 2017, Washington, DC, USA, November 8-9, 2017, 2017)

Neurogenesis deep learning: Extending deep networks to accommodate new classes - Timothy J. Draelos; Nadine E. Miner; Christopher C. Lamb; Jonathan A. Cox; Craig M. Vineyard; Kristofor D. Carlson; William M. Severa; Conrad D. James; James B. Aimone (2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017, 2017)

Optimization-based computation with spiking neurons - Stephen J. Verzi; Craig M. Vineyard; Eric D. Vugrin; Meghan A. Galiardi; Conrad D. James; James B. Aimone (2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017, 2017)

A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines - Michael R. Smith; Aaron J. Hill; Kristofor D. Carlson; Craig M. Vineyard; Jonathon Donaldson; David R. Follett; Pamela L. Follett; John H. Naegle; Conrad D. James; James B. Aimone (2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017, 2017)

A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines - Michael R. Smith; Aaron J. Hill; Kristofor D. Carlson; Craig M. Vineyard; Jonathon Donaldson; David R. Follett; Pamela L. Follett; John H. Naegle; Conrad D. James; James B. Aimone (CoRR, 2017)

Overcoming the Static Learning Bottleneck - the need for adaptive neural learning - Craig M. Vineyard; Stephen J. Verzi (IEEE International Conference on Rebooting Computing, ICRC 2016, San Diego, CA, USA, October 17-19, 2016, 2016)

Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis - Craig M. Vineyard; Stephen J. Verzi; Conrad D. James; James B. Aimone (2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016, 2016)

Neurogenesis Deep Learning - Timothy J. Draelos; Nadine E. Miner; Christopher C. Lamb; Craig M. Vineyard; Kristofor D. Carlson; Conrad D. James; James B. Aimone (CoRR, 2016)

Repeated play of the SVM game as a means of adaptive classification - Craig M. Vineyard; Stephen J. Verzi; Conrad D. James; James B. Aimone; Gregory L. Heileman (2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015, 2015)

MapReduce SVM Game - Craig M. Vineyard; Stephen J. Verzi; Conrad D. James; James B. Aimone; Gregory L. Heileman (INNS Conference on Big Data 2015, San Francisco, CA, USA, 8-10 August 2015, 2015)

Adult Neurogenesis: Implications on Human And Computational Decision Making - Craig M. Vineyard; Stephen J. Verzi; Thomas P. Caudell; Michael L. Bernard; James B. Aimone (Foundations of Augmented Cognition - 7th International Conference, AC 2013, Held as Part of HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013. Proceedings, 2013)

A multi-modal network architecture for knowledge discovery - Craig M. Vineyard; Stephen J. Verzi; Michael L. Bernard; Shawn E. Taylor; Irene Dubicka; Thomas P. Caudell (Secur. Informatics, 2012)

Neurogenesis in a High Resolution Dentate Gyrus Model - Craig M. Vineyard; James B. Aimone; Glory R. Emmanuel (Biologically Inspired Cognitive Architectures 2012 - Proceedings of the Third Annual Meeting of the BICA Society, Palermo, Sicily, Italy, October 31 - November 3, 2012, 2012)

A Game Theoretic Model of Neurocomputation - Craig M. Vineyard; Glory R. Emmanuel; Stephen J. Verzi; Gregory L. Heileman (Biologically Inspired Cognitive Architectures 2012 - Proceedings of the Third Annual Meeting of the BICA Society, Palermo, Sicily, Italy, October 31 - November 3, 2012, 2012)

Game theoretic mechanism design applied to machine learning classification - Craig M. Vineyard; Gregory L. Heileman; Stephen J. Verzi; Ramiro Jordan (3rd International Workshop on Cognitive Information Processing, CIP 2012, Baiona, Spain, May 28-30, 2012, 2012)

The Impact of Attitude Resolve on Population Wide Attitude Change - Craig M. Vineyard; Kiran Lakkaraju; Joseph Collard; Stephen J. Verzi (Social Computing, Behavioral - Cultural Modeling and Prediction - 5th International Conference, SBP 2012, College Park, MD, USA, April 3-5, 2012. Proceedings, 2012)

A Multimodal Hypertensor Architecture for Association Formation - Craig M. Vineyard; Stephen J. Verzi; Michael L. Bernard; Thomas P. Caudell (Biologically Inspired Cognitive Architectures 2011 - Proceedings of the Second Annual Meeting of the BICA Society, Arlington, Virginia, USA, November 4-6, 2011, 2011)

A neurophysiologically inspired hippocampus based associative-ART Artificial neural network architecture - Craig M. Vineyard; Stephen J. Verzi; Michael L. Bernard; Shawn E. Taylor; Wendy L. Shaneyfelt; Irene Dubicka; Jonathan T. McClain; Thomas P. Caudell (The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011, 2011)

A Neurologically Plausible Artificial Neural Network Computational Architecture of Episodic Memory and Recall - Craig M. Vineyard; Michael L. Bernard; Shawn E. Taylor; Thomas P. Caudell; Patrick D. Watson; Stephen J. Verzi; Neal J. Cohen; Howard Eichenbaum (Biologically Inspired Cognitive Architectures 2010 - Proceedings of the First Annual Meeting of the BICA Society, Washington, DC, USA, November 13-14, 2010, 2010)

Memory in Silico: Building a Neuromimetic Episodic Cognitive Model - Shawn E. Taylor; Craig M. Vineyard; Michael J. Healy; Thomas P. Caudell; Neal J. Cohen; Patrick D. Watson; Stephen J. Verzi; J. Daniel Morrow; Michael L. Bernard; Howard Eichenbaum (CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31 - April 2, 2009, Los Angeles, California, USA, 7 Volumes, 2009)

Temporal semantics: An Adaptive Resonance Theory approach - Shawn E. Taylor; Michael L. Bernard; Stephen J. Verzi; James D. Morrow; Craig M. Vineyard; Michael J. Healy; Thomas P. Caudell (International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, Georgia, USA, 14-19 June 2009, 2009)