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 (5), 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 (IJCNN, 2009)

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 (BICA, 2010)

A Multimodal Hypertensor Architecture for Association Formation. - Craig M. Vineyard; Stephen J. Verzi; Michael L. Bernard; Thomas P. Caudell (BICA, 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 (IJCNN, 2011)

Neurogenesis in a High Resolution Dentate Gyrus Model. - Craig M. Vineyard; James B. Aimone; Glory R. Emmanuel (BICA, 2012)

A Game Theoretic Model of Neurocomputation. - Craig M. Vineyard; Glory R. Emmanuel; Stephen J. Verzi; Gregory L. Heileman (BICA, 2012)

Game theoretic mechanism design applied to machine learning classification. - Craig M. Vineyard; Gregory L. Heileman; Stephen J. Verzi; Ramiro Jordan (CIP, 2012)

The Impact of Attitude Resolve on Population Wide Attitude Change. - Craig M. Vineyard; Kiran Lakkaraju; Joseph Collard; Stephen J. Verzi (SBP, 2012)

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)

Adult Neurogenesis: Implications on Human And Computational Decision Making. - Craig M. Vineyard; Stephen J. Verzi; Thomas P. Caudell; Michael L. Bernard; James B. Aimone (HCI (24), 2013)

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 (IJCNN, 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)

Overcoming the Static Learning Bottleneck - the need for adaptive neural learning. - Craig M. Vineyard; Stephen J. Verzi (ICRC, 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 (IJCNN, 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)

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 002; Stephen J. Verzi; William Severa; Felix Wang; James B. Aimone; John H. Naegle; et al. (ICRC, 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 (IJCNN, 2017)

A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines. - Michael R. Smith 002; 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 (IJCNN, 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 (IJCNN, 2017)

A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines. - Michael R. Smith 002; 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)

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

Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance. - Sam Green; Craig M. Vineyard; Çetin Kaya Koç (IJCNN, 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)

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)

Composing neural algorithms with Fugu. - James B. Aimone; William Severa; Craig M. Vineyard (ICONS, 2019)

Benchmarking Event-Driven Neuromorphic Architectures. - Craig M. Vineyard; Sam Green; William M. Severa; Çetin Kaya Koç (ICONS, 2019)

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

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)

Low-Complexity Fixed-Point Convolutional Neural Networks For Automatic Target Recognition. - Hassan Dbouk; Hanfei Geng; Craig M. Vineyard; Naresh R. Shanbhag (ICASSP, 2020)

Effective Pruning of Binary Activation Neural Networks. - William Severa; Ryan Dellana; Craig M. Vineyard (ICONS, 2020)

RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search. - Sam Green; Craig M. Vineyard; Ryan Helinski; Çetin Kaya Koç (IJCNN, 2020)

Comparing Neural Accelerators & Neuromorphic Architectures The False Idol of Operations. - Craig M. Vineyard; Mark Plagge; Sam Green (NICE, 2020)

Energy-Efficient Target Recognition using ReRAM Crossbars for Enabling On-Device Intelligence. - Sourav Sanyal; Aayush Ankit; Craig M. Vineyard; Kaushik Roy 001 (SiPS, 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 (SMC, 2020)

Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence. - Frances S. Chance; James B. Aimone; Srideep Musuvathy; Michael R. Smith 002; Craig M. Vineyard; Felix Wang (Frontiers Comput. Neurosci., 2020)

Spiking Neural Streaming Binary Arithmetic. - James B. Aimone; Aaron J. Hill; William M. Severa; Craig M. Vineyard (ICRC, 2021)

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)

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 (ICONS, 2023)

Neuromorphic Population Evaluation using the Fugu Framework. - William Severa; Suma George Cardwell; Michael Krygier; Fredrick H. Rothganger; Craig Michael Vineyard (ICONS, 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)

Research Challenges for Energy-Efficient Computing in Automated Vehicles. - Robert P. Dick; Rob Aitken; Jace Mogill; John Paul Strachan; Kirk Bresniker; Wei Lu 003; Yorie Nakahira; Zhiyong Li; Matthew J. Marinella; William Severa; A. Alec Talin; Craig M. Vineyard; et al. (Computer, 2023)

Strategic Considerations for Neuromorphic Computing. - Craig M. Vineyard; William M. Severa; James B. Aimone (ICONS, 2024)