Craig M. Vineyard

48 papers B 10Misc 1Journal 16Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Is Computing with Light All You Need? A Perspective on Codesign for Optical Artificial Intelligence and Scientific Computing. Adv. Intell. Syst. Prasad P. Iyer, Gaurang R. Bhatt, Saaketh Desai, Elliot J. Fuller, Corinne Teeter, François Léonard, Craig M. Vineyard
2025	J	`jnl`	Neuromorphic Simulation of Drosophila Melanogaster Brain Connectome on Loihi 2. CoRR Felix Wang, Bradley H. Theilman, Fred Rothganger, William Severa, Craig M. Vineyard, James B. Aimone
2024	—	`conf`	Strategic Considerations for Neuromorphic Computing. ICONS Craig M. Vineyard, William M. Severa, James B. Aimone
2023	—	`conf`	Context Modulation Enables Multi-tasking and Resource Efficiency in Liquid State Machines. ICONS Peter Helfer, Corinne Teeter, Aaron J. Hill, Craig M. Vineyard, James B. Aimone, Dhireesha Kudithipudi
2023	J	`jnl`	NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR 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, P. 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
2023	J	`jnl`	Neuromorphic Co-Design as a Game. CoRR Craig M. Vineyard, William M. Severa, James B. Aimone
2023	J	`jnl`	Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer 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
2022	—	`conf`	Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. NICE Craig M. Vineyard, Suma Cardwell, Frances S. Chance, Srideep Musuvathy, Fred Rothganger, William Severa, John Darby Smith, Corinne Teeter, Felix Wang, James B. Aimone
2022	J	`jnl`	Spiking Neural Streaming Binary Arithmetic. CoRR James B. Aimone, Aaron J. Hill, William M. Severa, Craig M. Vineyard
2021	—	`conf`	Spiking Neural Streaming Binary Arithmetic. ICRC James B. Aimone, Aaron J. Hill, William M. Severa, Craig M. Vineyard
2020	—	`conf`	Comparing Neural Accelerators & Neuromorphic Architectures The False Idol of Operations. NICE Craig M. Vineyard, Mark Plagge, Sam Green
2020	J	`jnl`	Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence. Frontiers Comput. Neurosci. Frances S. Chance, James B. Aimone, Srideep Musuvathy, Michael R. Smith, Craig M. Vineyard, Felix Wang
2020	—	`conf`	Effective Pruning of Binary Activation Neural Networks. ICONS William Severa, Ryan Dellana, Craig M. Vineyard
2020	—	`conf`	Energy-Efficient Target Recognition using ReRAM Crossbars for Enabling On-Device Intelligence. SiPS Sourav Sanyal, Aayush Ankit, Craig M. Vineyard, Kaushik Roy
2020	Misc	`conf`	Low-Complexity Fixed-Point Convolutional Neural Networks For Automatic Target Recognition. ICASSP Hassan Dbouk, Hanfei Geng, Craig M. Vineyard, Naresh R. Shanbhag
2020	B	`conf`	RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search. IJCNN Sam Green, Craig M. Vineyard, Ryan Helinski, Çetin Kaya Koç
2020	B	`conf`	Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC. SMC Suma George Cardwell, Craig M. Vineyard, William Severa, Frances S. Chance, Fredrick H. Rothganger, Felix Wang, Srideep Musuvathy, Corinne Teeter, James B. Aimone
2019	—	`conf`	Benchmarking Event-Driven Neuromorphic Architectures. ICONS Craig M. Vineyard, Sam Green, William M. Severa, Çetin Kaya Koç
2019	J	`jnl`	Composing Neural Algorithms with Fugu. CoRR James B. Aimone, William Severa, Craig M. Vineyard
2019	—	`conf`	Composing neural algorithms with Fugu. ICONS James B. Aimone, William Severa, Craig M. Vineyard
2019	J	`jnl`	Distillation Strategies for Proximal Policy Optimization. CoRR Sam Green, Craig M. Vineyard, Çetin Kaya Koç
2019	J	`jnl`	RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search. CoRR Sam Green, Craig M. Vineyard, Ryan Helinski, Çetin Kaya Koç
2019	J	`jnl`	Training deep neural networks for binary communication with the Whetstone method. Nat. Mach. Intell. William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone
2018	J	`jnl`	Computing with Spikes: The Advantage of Fine-Grained Timing. Neural Comput. Stephen J. Verzi, Fredrick H. Rothganger, Ojas Parekh, Tu-Thach Quach, Nadine E. Miner, Craig M. Vineyard, Conrad D. James, James B. Aimone
2018	B	`conf`	Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance. IJCNN Sam Green, Craig M. Vineyard, Çetin Kaya Koç
2018	—	`ch.`	Mathematical Optimizations for Deep Learning. Cyber-Physical Systems Security Sam Green, Craig M. Vineyard, Çetin Kaya Koç
2018	J	`jnl`	Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication. CoRR William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone
2017	J	`jnl`	A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines. CoRR 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	—	`conf`	A Spike-Timing Neuromorphic Architecture. ICRC 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
2017	B	`conf`	A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines. IJCNN 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	B	`conf`	Neurogenesis deep learning: Extending deep networks to accommodate new classes. IJCNN 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	B	`conf`	Optimization-based computation with spiking neurons. IJCNN Stephen J. Verzi, Craig M. Vineyard, Eric D. Vugrin, Meghan A. Galiardi, Conrad D. James, James B. Aimone
2016	J	`jnl`	Neurogenesis Deep Learning. CoRR Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Craig M. Vineyard, Kristofor D. Carlson, Conrad D. James, James B. Aimone
2016	—	`conf`	Overcoming the Static Learning Bottleneck - the need for adaptive neural learning. ICRC Craig M. Vineyard, Stephen J. Verzi
2016	B	`conf`	Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis. IJCNN Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone
2015	—	`conf`	MapReduce SVM Game. INNS Conference on Big Data Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman
2015	B	`conf`	Repeated play of the SVM game as a means of adaptive classification. IJCNN Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman
2013	—	`conf`	Adult Neurogenesis: Implications on Human And Computational Decision Making. HCI (24) Craig M. Vineyard, Stephen J. Verzi, Thomas P. Caudell, Michael L. Bernard, James B. Aimone
2012	—	`conf`	A Game Theoretic Model of Neurocomputation. BICA Craig M. Vineyard, Glory R. Emmanuel, Stephen J. Verzi, Gregory L. Heileman
2012	J	`jnl`	A multi-modal network architecture for knowledge discovery. Secur. Informatics Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Shawn E. Taylor, Irene Dubicka, Thomas P. Caudell
2012	—	`conf`	Game theoretic mechanism design applied to machine learning classification. CIP Craig M. Vineyard, Gregory L. Heileman, Stephen J. Verzi, Ramiro Jordan
2012	—	`conf`	Neurogenesis in a High Resolution Dentate Gyrus Model. BICA Craig M. Vineyard, James B. Aimone, Glory R. Emmanuel
2012	—	`conf`	The Impact of Attitude Resolve on Population Wide Attitude Change. SBP Craig M. Vineyard, Kiran Lakkaraju, Joseph Collard, Stephen J. Verzi
2011	—	`conf`	A Multimodal Hypertensor Architecture for Association Formation. BICA Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Thomas P. Caudell
2011	B	`conf`	A neurophysiologically inspired hippocampus based associative-ART Artificial neural network architecture. IJCNN Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Shawn E. Taylor, Wendy L. Shaneyfelt, Irene Dubicka, Jonathan T. McClain, Thomas P. Caudell
2010	—	`conf`	A Neurologically Plausible Artificial Neural Network Computational Architecture of Episodic Memory and Recall. BICA Craig M. Vineyard, Michael L. Bernard, Shawn E. Taylor, Thomas P. Caudell, Patrick D. Watson, Stephen J. Verzi, Neal J. Cohen, Howard Eichenbaum
2009	—	`conf`	Memory in Silico: Building a Neuromimetic Episodic Cognitive Model. CSIE (5) 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
2009	B	`conf`	Temporal semantics: An Adaptive Resonance Theory approach. IJCNN Shawn E. Taylor, Michael L. Bernard, Stephen J. Verzi, James D. Morrow, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell