Craig Vineyard, Ph.D.

Francois Leonard, Elliot Fuller, Corinne Teeter, Craig Vineyard, (2022). Neuromorphic Information Processing by Optical Media https://doi.org/10.2172/1887939 Publication ID: 80203

Aaron Hill, Craig Vineyard, (2021). An introduction to neuromorphic computing and its potential impact for unattended ground sensors https://doi.org/10.2172/1826263 Publication ID: 76308

Francois Leonard, Corinne Teeter, Craig Vineyard, (2021). Physics-Based Optical Neuromorphic Classification https://doi.org/10.2172/1887643 Publication ID: 80204

Rob Aitken, Yorie Nakahira, John Strachan, Kirk Bresniker, Ian Young, Zhiyong Li, Leonard Klebanoff, Carrie Burchard, Suhas Kumar, Matthew Marinella, William Severa, Albert Talin, Craig Vineyard, Christian Mailhiot, Robert Dick, Wei Lu, Jace Mogill, (2021). Energy Efficient Computing R&D Roadmap Outline for Automated Vehicles https://doi.org/10.2172/1821804 Publication ID: 75277

Francois Leonard, Adam Backer, Elliot Fuller, Corinne Teeter, Craig Vineyard, (2021). Co-Design of Free-Space Metasurface Optical Neuromorphic Classifiers for High Performance ACS Photonics https://doi.org/10.1021/acsphotonics.1c00526 Publication ID: 79024

Craig Vineyard, (2021). Machine Learning/Neural Computing Track Introduction https://doi.org/10.2172/1882087 Publication ID: 79346

Craig Vineyard, Josh Donckels, (2021). Space High-Performance Computing Center of Excellence – Joint Exploration of Neuromorphic Orbital Vehicles (JENOVA) https://www.osti.gov/servlets/purl/1869392 Publication ID: 78534

Craig Vineyard, (2021). SEEK – Scoping neuromorphic architecture impact enabling advanced sensing capabilities https://doi.org/10.2172/1856093 Publication ID: 77685

William Severa, James Aimone, Craig Vineyard, Srideep Musuvathy, Yang Ho, Zubin Kane, leah reeder, (2021). Platform-Agnostic Neural Algorithm Composition using Fugu https://doi.org/10.2172/1856292 Publication ID: 77689

Ryan Melzer, William Severa, Mark Plagge, Craig Vineyard, (2021). Exploring Characteristics of Neural Network Architecture Computation for Enabling SAR ATR https://doi.org/10.1117/12.2588006 Publication ID: 77807

Craig Vineyard, Mark Plagge, sam green, William Severa, (2021). Comparing Neural Accelerators & Neuromorphic Architectures ? The False Idol of Operations https://doi.org/10.2172/1855322 Publication ID: 77564

Craig Vineyard, (2021). Sandia Labs Event-Sensing & Computation Interests https://www.osti.gov/servlets/purl/1847467 Publication ID: 77356

Craig Vineyard, Ryan Dellana, James Aimone, William Severa, (2021). Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform https://doi.org/10.2172/1761866 Publication ID: 67353

James Aimone, Aaron Hill, William Severa, Craig Vineyard, (2021). Spiking Neural Streaming Binary Arithmetic Proceedings – 2021 International Conference on Rebooting Computing, ICRC 2021 https://doi.org/10.1109/ICRC53822.2021.00021 Publication ID: 76426

Craig Vineyard, Ryan Melzer, Srideep Musuvathy, John Richards, William Severa, John Smith, (2020). Neural Network Approaches for Enabling Automatic Target Recognition https://doi.org/10.2172/1831567 Publication ID: 71764

Francois Leonard, Craig Vineyard, (2020). Neuromorphic Computing with Optical Materials https://www.osti.gov/servlets/purl/1825619 Publication ID: 71169

Felix Wang, Kevin Pedretti, Craig Vineyard, Andrew Younge, (2020). Job Modeling for Power Forecasting and Analysis on the Astra Supercomputer https://www.osti.gov/servlets/purl/1830925 Publication ID: 71380

William Severa, Ryan Dellana, Craig Vineyard, (2020). Effective Pruning of Binary Activation Neural Networks ACM International Conference Proceeding Series https://doi.org/10.1145/3407197.3407201 Publication ID: 74066

Abrar Anwar, Suma Cardwell, Srideep Musuvathy, William Severa, Craig Vineyard, (2020). Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks https://www.osti.gov/servlets/purl/1808779 Publication ID: 74101

William Severa, Ryan Dellana, Craig Vineyard, (2020). Effective Pruning of Binary Activation Networks https://doi.org/10.1145/3407197.3407201 Publication ID: 74115

Abrar Anwar, Suma Cardwell, Srideep Musuvathy, William Severa, Craig Vineyard, (2020). Evolving Spiking Circuit Motifs using Weight Agnostic Neural Networks https://www.osti.gov/servlets/purl/1804991 Publication ID: 73928

Frances Chance, James Aimone, Srideep Musuvathy, Michael Smith, Craig Vineyard, Felix Wang, (2020). Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence Frontiers in Computational Neuroscience https://doi.org/10.3389/fncom.2020.00039 Publication ID: 73290

Park Hays, Arlo Ames, Ryan Dellana, Matthew Kagie, Andrew Scholand, William Severa, Joshua Shank, Craig Vineyard, (2020). Spike Processing for Improved Radiation Tolerance and Low Power Space Missions https://www.osti.gov/servlets/purl/1770682 Publication ID: 73013

Craig Vineyard, James Aimone, William Severa, Mark Plagge, Thomas Reichardt, Andrew Sornborger, (2020). SEEK – Scoping neuromorphic architecture impact enabling advanced sensing capabilities https://www.osti.gov/servlets/purl/1772874 Publication ID: 73130

Felix Wang, sam green, Kevin Pedretti, Craig Vineyard, Andrew Younge, (2020). Machines Learning about Machines – ML for Analysis and Control of HPC Infrastructure https://www.osti.gov/servlets/purl/1767893 Publication ID: 72755

Craig Vineyard, (2019). Neural-inspired Computing at Sandia Labs – Enabling and Performing Advanced Computation https://www.osti.gov/servlets/purl/1643305 Publication ID: 66361

Srideep Musuvathy, James Aimone, Suma Cardwell, Frances Chance, Ryan Dellana, Yang Ho, Leah Reeder, William Severa, Craig Vineyard, Felix Wang, (2019). Fugu: Algorithm Development for Neuromorphic Hardware https://www.osti.gov/servlets/purl/1646072 Publication ID: 65493

Craig Vineyard, William Severa, Sam Green, Ryan Dellana, Mark Plagge, Aaron Hill, (2019). Neural Inspired Computation Remote Sensing Platform https://doi.org/10.2172/1569155 Publication ID: 65182

Sam Green, Craig Vineyard, (2019). Hardware-Aware Neural Architecture Search https://www.osti.gov/servlets/purl/1645868 Publication ID: 64630

Craig Vineyard, Sam Green, Kevin Pedretti, Andrew Younge, Vitus Leung, (2019). Machine Learning for System Software ? Can Computers Manage Computers? https://www.osti.gov/servlets/purl/1645723 Publication ID: 70311

James Aimone, William Severa, Craig Vineyard, (2019). Composing neural algorithms with Fugu ACM International Conference Proceeding Series https://doi.org/10.1145/3354265.3354268 Publication ID: 64887

Justin Doak, Joey Ingram, Michael Smith, Craig Vineyard, (2019). Self-updating Models with Error Remediation for Bandwidth-constrained Environments https://www.osti.gov/servlets/purl/1641249 Publication ID: 69923

Craig Vineyard, Sam Green, William Severa, Cetin Koc, (2019). Benchmarking Event-Driven Neuromorphic Architectures https://doi.org/10.1145/3354265.3354278 Publication ID: 70043

Craig Vineyard, William Severa, Matthew Kagie, Andrew Scholand, Park Hays, (2019). A resurgence in neuromorphic architectures enabling remote sensing computation Proceedings – 2019 IEEE Space Computing Conference, SCC 2019 https://doi.org/10.1109/SpaceComp.2019.00009 Publication ID: 70089

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, (2019). Neuromorphic Computing Algorithms and Architecture Research at Sandia https://www.osti.gov/servlets/purl/1645676 Publication ID: 70107

Craig Vineyard, Ryan Dellana, James Aimone, Fredrick Rothganger, William Severa, (2019). Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform ACM International Conference Proceeding Series https://doi.org/10.1145/3320288.3320300 Publication ID: 67701

Aaron Hill, William Severa, Craig Vineyard, Ryan Dellana, Leah Reeder, Felix Wang, James Aimone, Angel Yanguas-Gil, (2019). Building a Comprehensive Neuromorphic Platformfor Remote Computation https://www.osti.gov/servlets/purl/1639487 Publication ID: 67624

Fredrick Rothganger, Craig Vineyard, Arun Rodrigues, (2019). Generic Spiking Architecture (GenSA) https://www.osti.gov/servlets/purl/1639505 Publication ID: 67661

Craig Vineyard, (2019). Neural-inspired computing at Sandia Labs ? enabling and performing advanced computation https://www.osti.gov/servlets/purl/1602102 Publication ID: 67085

Craig Vineyard, (2019). Neuromorphic Research at Sandia National Labs https://www.osti.gov/servlets/purl/1639210 Publication ID: 66904

William Severa, Aaron Hill, Craig Vineyard, Ryan Dellana, Leah Reeder, Felix Wang, James Aimone, Angel Yanguas-Gil, (2019). Building a Comprehensive Neuromorphic Platform for Remote Computation https://www.osti.gov/servlets/purl/1592219 Publication ID: 64273

Craig Vineyard, (2019). Neural-Inspired Computing at Sandia National Laboratories https://www.osti.gov/servlets/purl/1593223 Publication ID: 64365

Steven Owen, Christopher Siefert, Craig Vineyard, Ron Oldfield, (2019). SNL Data and Visualization: ML Projects at Sandia https://www.osti.gov/servlets/purl/1591994 Publication ID: 64241

Sam Green, Craig Vineyard, Çetin Koç, (2018). Mathematical optimizations for deep learning Cyber-Physical Systems Security https://doi.org/10.1007/978-3-319-98935-8_4 Publication ID: 62089

Sam Green, Craig Vineyard, Cetin Koc, (2018). Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance Proceedings of the International Joint Conference on Neural Networks https://doi.org/10.1109/IJCNN.2018.8489519 Publication ID: 61839

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

Craig Vineyard, David Follett, (2018). Neural-Inspired Computing at Sandia National Laboratories https://www.osti.gov/servlets/purl/1569319 Publication ID: 59263

William Severa, Craig Vineyard, Ryan Dellana, James Aimone, (2018). Whetstone: An Accessible Platform-Independent Method for Training Spiking Deep Neural Networks for Neuromorphic Processors https://www.osti.gov/servlets/purl/1806670 Publication ID: 63321

Stephen Verzi, Craig Vineyard, James Aimone, (2018). Neural-inspired Anomaly Detection https://doi.org/10.1007/978-3-319-96661-8_21 Publication ID: 63164

William Severa, Ryan Dellana, Craig Vineyard, James Aimone, (2018). Whetstone: An accessible platform-independent method training spiking deep neural networks for neuromorphic processors https://www.osti.gov/servlets/purl/1806636 Publication ID: 63219

Sam Green, Craig Vineyard, Cetin Koc, (2018). Impacts of Mathematical Optimization on Reinforcement Learning https://www.osti.gov/servlets/purl/1526126 Publication ID: 62509

Craig Vineyard, Sam Green, (2018). Introduction to Neural-Inspired Computing & Impacts for Space https://www.osti.gov/servlets/purl/1525701 Publication ID: 62414

Sam Green, Craig Vineyard, Cetin Koc, (2018). Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance https://doi.org/10.1109/IJCNN.2018.8489519 Publication ID: 60228

William Severa, Ryan Dellana, Craig Vineyard, James Aimone, (2018). Whetstone: An accessible platform-independent method for training spiking deep neural networks for neuromorphic processors https://www.osti.gov/servlets/purl/1572444 Publication ID: 60507

Craig Vineyard, Stephen Verzi, William Severa, James Aimone, (2018). Spiking Neuron Implementations of Several Fundamental Machine Learning Algorithms https://www.osti.gov/servlets/purl/1498201 Publication ID: 60768

Craig Vineyard, (2018). Neural-Inspired Technologies for Data Processing and Scientific Computing https://www.osti.gov/servlets/purl/1497563 Publication ID: 60822

William Severa, Craig Vineyard, Ryan Dellana, James Aimone, (2018). Whetstone: An Accessible Platform-Independent Method for Training Spiking Deep Neural Networks for Neuromorphic Processors https://www.osti.gov/servlets/purl/1498219 Publication ID: 60857

Sam Green, Craig Vineyard, Cetin Koc, (2018). Reinforcement Learning Policy Performance Impacts of Pruning Quantization and Compression https://www.osti.gov/servlets/purl/1498241 Publication ID: 60883

Stephen Verzi, Craig Vineyard, James Aimone, (2018). Neural-Inspired Anomaly Detection Springer Proceedings in Complexity https://doi.org/10.1007/978-3-319-96661-8_21 Publication ID: 62382

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

Craig Vineyard, (2017). Sandia Labs ? Neural Sommelier https://www.osti.gov/servlets/purl/1478719 Publication ID: 53649

Craig Vineyard, Stephen Verzi, (2017). A Case Study on Neural Inspired Dynamic Memory Management Strategies for High Performance Computing https://doi.org/10.2172/1396076 Publication ID: 53208

Craig Vineyard, (2017). Studying Adaptive Learning through Game-Theoretic Modeling https://www.osti.gov/servlets/purl/1464694 Publication ID: 57868

Craig Vineyard, (2017). Neuroscience Related HW & SW Resources https://www.osti.gov/servlets/purl/1464672 Publication ID: 57886

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

Craig Vineyard, (2017). Neural-Inspired Algorithms for HPC – a Memory Management Case Study https://www.osti.gov/servlets/purl/1465002 Publication ID: 57975

Timothy Draelos, Nadine Miner, Jonathan Cox, Christopher Lamb, Craig Vineyard, Kristofor Carlson, William Severa, Conrad James, James Aimone, (2017). Neurogenesis Deep Learning https://www.osti.gov/servlets/purl/1462930 Publication ID: 57714

Timothy Draelos, Nadine Miner, Christopher Lamb, Jonathan Cox, Craig Vineyard, Kristofor Carlson, William Severa, Conrad James, James Aimone, (2017). Neurogenesis deep learning: Extending deep networks to accommodate new classes Proceedings of the International Joint Conference on Neural Networks https://doi.org/10.1109/IJCNN.2017.7965898 Publication ID: 56321

Michael Smith, Aaron Hill, Kristofor Carlson, Craig Vineyard, Jonathon Donaldson, David Follett, Pamela Follett, John Naegle, Conrad James, James Aimone, (2017). A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines Proceedings of the International Joint Conference on Neural Networks https://www.osti.gov/servlets/purl/1457873 Publication ID: 56145

Stephen Verzi, Craig Vineyard, Eric Vugrin, Meghan Galiardi, Conrad James, James Aimone, (2017). Optimization-based computation with spiking neurons Proceedings of the International Joint Conference on Neural Networks https://doi.org/10.1109/IJCNN.2017.7966098 Publication ID: 54983

Craig Vineyard, Ojas Parekh, Cynthia Phillips, James Aimone, Conrad James, Craig Vineyard, Craig Vineyard, (2017). Adaptive Learning Theory https://www.osti.gov/servlets/purl/1367220 Publication ID: 56382

Meghan Sahakian, Stephen Verzi, Craig Vineyard, Eric Vugrin, Conrad James, James Aimone, (2017). Optimization-based computation with spiking neurons https://www.osti.gov/servlets/purl/1457893 Publication ID: 56181

Michael Smith, Aaron Hill, Kristofor Carlson, Craig Vineyard, Jonathon Donaldson, David Follett, Pamela Follett, John Naegle, Conrad James, James Aimone, Michael Smith, Michael Smith, (2017). An Efficient Implementation of a LSM on the Spiking Temporal Processing Unit https://www.osti.gov/servlets/purl/1427931 Publication ID: 55347

Michael Smith, Aaron Hill, Kristofor Carlson, Craig Vineyard, Jonathon Donaldson, David Follett, Pamela Follett, John Naegle, Conrad James, James Aimone, (2017). An Efficient Implementation of a Liquid State Machine on the Spiking Temporal Processing Unit https://www.osti.gov/servlets/purl/1427932 Publication ID: 55348

Craig Vineyard, (2017). Studying Adaptive Learning through Game-Theoretic Modeling https://www.osti.gov/servlets/purl/1425314 Publication ID: 55162

Timothy Draelos, Nadine Miner, Christopher Lamb, Jonathan Cox, Craig Vineyard, Kristofor Carlson, William Severa, Conrad James, James Aimone, (2017). Neurogenesis Deep Learning https://www.osti.gov/servlets/purl/1424868 Publication ID: 55124

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

William Severa, Kristofor Carlson, Ojas Parekh, Craig Vineyard, James Aimone, (2016). Can we be formal in assessing the strengths and weaknesses of neural architectures? A case study using a spiking cross-correlation algorithm https://www.osti.gov/servlets/purl/1413431 Publication ID: 48137

Craig Vineyard, Stephen Verzi, (2016). Overcoming the Static Learning Bottleneck – the need for adaptive neural learning 2016 IEEE International Conference on Rebooting Computing, ICRC 2016 – Conference Proceedings https://doi.org/10.1109/ICRC.2016.7738692 Publication ID: 47210

William Severa, Kristofor Carlson, Ojas Parekh, Craig Vineyard, James Aimone, (2016). Can we be formal in assessing the strengths and weaknesses of neural architectures? A case study using a spiking cross-correlation algorithm https://www.osti.gov/servlets/purl/1410236 Publication ID: 47882

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

Stephen Verzi, Craig Vineyard, Eric Vugrin, Meghan Sahakian, Conrad James, James Aimone, (2016). Optimization-based computation with spiking neurons https://doi.org/10.1109/IJCNN.2017.7966098 Publication ID: 48012

Stephen Verzi, Craig Vineyard, Eric Vugrin, Meghan Sahakian, Conrad James, James Aimone, (2016). Optimization-based computation with spiking neurons https://doi.org/10.1109/IJCNN.2017.7966098 Publication ID: 48013

Craig Vineyard, Stephen Verzi, Conrad James, James Aimone, (2016). Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis Proceedings of the International Joint Conference on Neural Networks https://www.osti.gov/servlets/purl/1336353 Publication ID: 45978

Craig Vineyard, (2016). A Neurally Inspired Spiking Temporal Processing Unit Architecture https://www.osti.gov/servlets/purl/1401932 Publication ID: 47209

Craig Vineyard, (2016). A Neurally Inspired Spiking Temporal Processing Unit Architecture https://www.osti.gov/servlets/purl/1405234 Publication ID: 47288

Michael Smith, Aaron Hill, Kristofor Carlson, Craig Vineyard, Jonathon Donaldson, David Follett, Pamela Follett, John Naegle, Conrad James, James Aimone, (2016). Implementation of a Liquid State Machine with Temporal Dynamics on a Novel Spiking Neuromorphic Architecture https://www.osti.gov/servlets/purl/1405258 Publication ID: 47316

Conrad James, William Severa, Timothy Draelos, James Aimone, Craig Vineyard, Sapan Agarwal, Alexander Hsia, David Hughart, Patrick Finnegan, Robin Jacobs-Gedrim, Elliot Fuller, Albert Talin, Matthew Marinella, Richard Schiek, Steven Plimpton, (2016). Neural machine learning algorithms and hardware for image analysis and data science applications https://www.osti.gov/servlets/purl/1398356 Publication ID: 52612

Craig Vineyard, Stephen Verzi, (2016). Overcoming the Static Learning Bottleneck – the Need for Adaptive Neural Learning https://doi.org/10.1109/ICRC.2016.7738692 Publication ID: 50891

Craig Vineyard, Stephen Verzi, Conrad James, James Aimone, (2016). Quantifying Neural Information Content: A Case Study of the Impact of Hippocampal Adult Neurogenesis https://doi.org/10.1109/IJCNN.2016.7727884 Publication ID: 49412

Craig Vineyard, Stephen Verzi, Conrad James, James Aimone, (2016). Quantifying neural information content: a case study of the impact of hippocampal adult neurogenesis https://doi.org/10.2172/1561002 Publication ID: 48705

Craig Vineyard, (2016). Quantifying Adult Neurogenesis with Implications for Computation https://www.osti.gov/servlets/purl/1339595 Publication ID: 46678

Frances Chance, James Aimone, Kristofor Carlson, Warren Davis, Timothy Shead, Craig Vineyard, (2016). Sandia MICrONS Phase 1 kickoff slides https://www.osti.gov/servlets/purl/1514321 Publication ID: 46753

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

Craig Vineyard, Stephen Verzi, Conrad James, James Aimone, Gregory Heileman, (2015). Repeated play of the SVM game as a means of adaptive classification Proceedings of the International Joint Conference on Neural Networks https://www.osti.gov/servlets/purl/1249447 Publication ID: 43179

Craig Vineyard, (2015). Sandia National Laboratories Neural Computing https://www.osti.gov/servlets/purl/1301965 Publication ID: 44876

Craig Vineyard, Stephen Verzi, Conrad James, James Aimone, Gregory Heileman, (2015). Repeated Play of the SVM Game as a Means of Adaptive Classification https://doi.org/10.1109/IJCNN.2015.7280729 Publication ID: 44877

Craig Vineyard, Stephen Verzi, Conrad James, James Aimone, Gregory Heileman, (2015). MapReduce SVM Game https://www.osti.gov/servlets/purl/1256556 Publication ID: 43816

James Aimone, Michael Bernard, Craig Vineyard, Stephen Verzi, (2014). Using High Performance Computing to Examine the Processes of Neurogenesis Underlying Pattern Separation and Completion of Episodic Information https://doi.org/10.2172/1162373 Publication ID: 39168

Craig Vineyard, (2013). Quantifying the effects of neurogenesis – from information theory to CA3 modeling https://www.osti.gov/servlets/purl/1661317 Publication ID: 33756

James Aimone, Craig Vineyard, (2013). How neurogenesis and the scale of the dentate gyrus affect the resolution of memories https://www.osti.gov/servlets/purl/1649929 Publication ID: 32189

Craig Vineyard, (2012). A Game Theoretic Model of Neurocomputation https://www.osti.gov/servlets/purl/1116247 Publication ID: 30779

Craig Vineyard, (2012). Neurogenesis in a High Resolution Dentate Gyrus Model https://www.osti.gov/servlets/purl/1116258 Publication ID: 30789

Craig Vineyard, Stephen Verzi, Glory Avina, (2012). Copy of Copy of Neurogenesis in a High Resolution Dentate Gyrus Model https://www.osti.gov/servlets/purl/1141197 Publication ID: 30794

Craig Vineyard, Stephen Verzi, Glory Avina, (2012). Copy of Copy of Neurogenesis in a High Resolution Dentate Gyrus Model https://www.osti.gov/servlets/purl/1141250 Publication ID: 30795

Ann Speed, Craig Vineyard, Joseph Collard, Stephen Verzi, (2012). Diffusion among cognitively complex agents : final report https://doi.org/10.2172/1055582 Publication ID: 30258

Craig Vineyard, Stephen Verzi, Shawn Taylor, Irene Dubicka, Michael Bernard, (2011). Augmented cognition tool for rapid military decision making https://doi.org/10.2172/1029756 Publication ID: 24737

Michael Bernard, Stephen Verzi, Shawn Taylor, Irene Dubicka, Jonathan McClain, Craig Vineyard, (2011). Augmented Cognition Tool for Rapid Military Decision Making (ACORD) https://www.osti.gov/servlets/purl/1671500 Publication ID: 22272

Michael Bernard, Irene Dubicka, Jonathan McClain, Shawn Taylor, Stephen Verzi, Craig Vineyard, (2011). A Neurophysiologically Inspired Hippocampus Based Associative-ARTMAP Artificial Neural Network Architecture https://www.osti.gov/servlets/purl/1109437 Publication ID: 21591

Craig Vineyard, (2010). A Cortical-Hippocampal Neural Architecture for Episodic Memory with Information Theoretic Model Analysis https://www.osti.gov/servlets/purl/1123429 Publication ID: 18816

Michael Bernard, James Morrow, Shawn Taylor, Stephen Verzi, Craig Vineyard, (2009). Modeling aspects of human memory for scientific study https://doi.org/10.2172/986595 Publication ID: 16784

Shawn Taylor, Michael Bernard, Craig Vineyard, Stephen Verzi, James Morrow, (2009). Memory in Silico: Building a Neuromimetic Episodic Cognitive Model https://www.osti.gov/servlets/purl/1142499 Publication ID: 16064