Craig M. Vineyard

According to our database, Craig M. Vineyard authored at least 43 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

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, Suhas Kumar, Christian Mailhiot, Lennie Klebanoff

Computer, March, 2023

Neuromorphic Co-Design as a Game.

Craig M. Vineyard, William M. Severa, James B. Aimone

CoRR, 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, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 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, 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, 2023

2022

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

Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

2021

Spiking Neural Streaming Binary Arithmetic.

James B. Aimone, Aaron J. Hill, William M. Severa, Craig M. Vineyard

Proceedings of the 2021 International Conference on Rebooting Computing (ICRC), Los Alamitos, CA, USA, November 30, 2021

2020

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

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

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Energy-Efficient Target Recognition using ReRAM Crossbars for Enabling On-Device Intelligence.

Sourav Sanyal, Aayush Ankit, Craig M. Vineyard, Kaushik Roy

Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Comparing Neural Accelerators & Neuromorphic Architectures The False Idol of Operations.

Craig M. Vineyard, Mark Plagge, Sam Green

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search.

Sam Green, Craig M. Vineyard, Ryan Helinski, Çetin Kaya Koç

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Effective Pruning of Binary Activation Neural Networks.

William Severa, Ryan Dellana, Craig M. Vineyard

Proceedings of the International Conference on Neuromorphic Systems, 2020

Low-Complexity Fixed-Point Convolutional Neural Networks For Automatic Target Recognition.

Hassan Dbouk, Hanfei Geng, Craig M. Vineyard, Naresh R. Shanbhag

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Distillation Strategies for Proximal Policy Optimization.

Sam Green, Craig M. Vineyard, Çetin Kaya Koç

CoRR, 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, 2019

Composing neural algorithms with Fugu.

James B. Aimone, William Severa, Craig M. Vineyard

Proceedings of the International Conference on Neuromorphic Systems, 2019

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

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

Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance.

Sam Green, Craig M. Vineyard, Çetin Kaya Koç

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Mathematical Optimizations for Deep Learning.

Sam Green, Craig M. Vineyard, Çetin Kaya Koç

Proceedings of the Cyber-Physical Systems Security., 2018

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

Optimization-based computation with spiking neurons.

Stephen J. Verzi, Craig M. Vineyard, Eric D. Vugrin, Meghan A. Galiardi, Conrad D. James, James B. Aimone

Proceedings of the 2017 International Joint Conference on Neural Networks, 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

Proceedings of the 2017 International Joint Conference on Neural Networks, 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

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

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, Conrad D. James

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

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

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

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Overcoming the Static Learning Bottleneck - the need for adaptive neural learning.

Craig M. Vineyard, Stephen J. Verzi

Proceedings of the IEEE International Conference on Rebooting Computing, 2016

2015

MapReduce SVM Game.

Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman

Proceedings of the INNS Conference on Big Data 2015, 2015

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

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013

Adult Neurogenesis: Implications on Human And Computational Decision Making.

Craig M. Vineyard, Stephen J. Verzi, Thomas P. Caudell, Michael L. Bernard, James B. Aimone

Proceedings of the Foundations of Augmented Cognition, 2013

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

The Impact of Attitude Resolve on Population Wide Attitude Change.

Craig M. Vineyard, Kiran Lakkaraju, Joseph Collard, Stephen J. Verzi

Proceedings of the Social Computing, Behavioral - Cultural Modeling and Prediction, 2012

Game theoretic mechanism design applied to machine learning classification.

Craig M. Vineyard, Gregory L. Heileman, Stephen J. Verzi, Ramiro Jordan

Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

A Game Theoretic Model of Neurocomputation.

Craig M. Vineyard, Glory R. Emmanuel, Stephen J. Verzi, Gregory L. Heileman

Proceedings of the Biologically Inspired Cognitive Architectures 2012 - Proceedings of the Third Annual Meeting of the BICA Society, Palermo, Sicily, Italy, October 31, 2012

Neurogenesis in a High Resolution Dentate Gyrus Model.

Craig M. Vineyard, James B. Aimone, Glory R. Emmanuel

Proceedings of the Biologically Inspired Cognitive Architectures 2012 - Proceedings of the Third Annual Meeting of the BICA Society, Palermo, Sicily, Italy, October 31, 2012

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

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A Multimodal Hypertensor Architecture for Association Formation.

Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Thomas P. Caudell

Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

2010

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

Proceedings of the Biologically Inspired Cognitive Architectures 2010, 2010

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

Proceedings of the International Joint Conference on Neural Networks, 2009

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

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009