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Craig M. Vineyard
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2020 – today
- 2023
- [j5]Robert P. Dick
, Rob Aitken, Jace Mogill, John Paul Strachan
Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer 56(3): 47-58 (2023) - [c31]Peter Helfer
Context Modulation Enables Multi-tasking and Resource Efficiency in Liquid State Machines. ICONS 2023: 17:1-17:9 - [c30]William Severa
Neuromorphic Population Evaluation using the Fugu Framework. ICONS 2023: 42:1-42:7 - [i9]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
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i8]Craig M. Vineyard, William M. Severa, James B. Aimone
Neuromorphic Co-Design as a Game. CoRR abs/2312.14954 (2023) - 2022
- [c29]Craig M. Vineyard, Suma Cardwell, Frances S. Chance, Srideep Musuvathy, Fred Rothganger, William Severa, John Darby Smith
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. NICE 2022: 40-49 - [i7]James B. Aimone
Spiking Neural Streaming Binary Arithmetic. CoRR abs/2203.12662 (2022) - 2021
- [c28]James B. Aimone
Spiking Neural Streaming Binary Arithmetic. ICRC 2021: 79-83 - 2020
- [j4]Frances S. Chance
Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence. Frontiers Comput. Neurosci. 14: 39 (2020) - [c27]Hassan Dbouk, Hanfei Geng, Craig M. Vineyard, Naresh R. Shanbhag:
Low-Complexity Fixed-Point Convolutional Neural Networks For Automatic Target Recognition. ICASSP 2020: 1598-1602 - [c26]William Severa, Ryan Dellana, Craig M. Vineyard:
Effective Pruning of Binary Activation Neural Networks. ICONS 2020: 10:1-10:5 - [c25]Sam Green, Craig M. Vineyard, Ryan Helinski, Çetin Kaya Koç:
RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search. IJCNN 2020: 1-7 - [c24]Craig M. Vineyard, Mark Plagge, Sam Green:
Comparing Neural Accelerators & Neuromorphic Architectures The False Idol of Operations. NICE 2020: 3:1-3:6 - [c23]Sourav Sanyal
Energy-Efficient Target Recognition using ReRAM Crossbars for Enabling On-Device Intelligence. SiPS 2020: 1-6 - [c22]Suma George Cardwell, Craig M. Vineyard, William Severa, Frances S. Chance, Fredrick H. Rothganger, Felix Wang, Srideep Musuvathy, Corinne Teeter, James B. Aimone
Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC. SMC 2020: 349-365
2010 – 2019
- 2019
- [j3]William Severa
Training deep neural networks for binary communication with the Whetstone method. Nat. Mach. Intell. 1(2): 86-94 (2019) - [c21]James B. Aimone
Composing neural algorithms with Fugu. ICONS 2019: 3:1-3:8 - [c20]Craig M. Vineyard, Sam Green, William M. Severa, Çetin Kaya Koç:
Benchmarking Event-Driven Neuromorphic Architectures. ICONS 2019: 13:1-13:5 - [i6]Sam Green, Craig M. Vineyard, Çetin Kaya Koç:
Distillation Strategies for Proximal Policy Optimization. CoRR abs/1901.08128 (2019) - [i5]James B. Aimone, William Severa, Craig M. Vineyard:
Composing Neural Algorithms with Fugu. CoRR abs/1905.12130 (2019) - [i4]Sam Green, Craig M. Vineyard, Ryan Helinski, Çetin Kaya Koç:
RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search. CoRR abs/1911.05704 (2019) - 2018
- [j2]Stephen J. Verzi
Computing with Spikes: The Advantage of Fine-Grained Timing. Neural Comput. 30(10) (2018) - [c19]Sam Green, Craig M. Vineyard, Çetin Kaya Koç
Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance. IJCNN 2018: 1-8 - [p1]Sam Green, Craig M. Vineyard, Çetin Kaya Koç:
Mathematical Optimizations for Deep Learning. Cyber-Physical Systems Security 2018: 69-92 - [i3]William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone:
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication. CoRR abs/1810.11521 (2018) - 2017
- [c18]Aaron J. Hill, Jonathon W. Donaldson, Fredrick H. Rothganger, Craig M. Vineyard, David R. Follett, Pamela L. Follett, Michael R. Smith, Stephen J. Verzi
A Spike-Timing Neuromorphic Architecture. ICRC 2017: 1-8 - [c17]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
Neurogenesis deep learning: Extending deep networks to accommodate new classes. IJCNN 2017: 526-533 - [c16]Stephen J. Verzi
Optimization-based computation with spiking neurons. IJCNN 2017: 2015-2022 - [c15]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
A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines. IJCNN 2017: 2421-2428 - [i2]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:
A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines. CoRR abs/1704.08306 (2017) - 2016
- [c14]Craig M. Vineyard, Stephen J. Verzi
Overcoming the Static Learning Bottleneck - the need for adaptive neural learning. ICRC 2016: 1-3 - [c13]Craig M. Vineyard, Stephen J. Verzi
Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis. IJCNN 2016: 5181-5188 - [i1]Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Craig M. Vineyard, Kristofor D. Carlson, Conrad D. James, James B. Aimone:
Neurogenesis Deep Learning. CoRR abs/1612.03770 (2016) - 2015
- [c12]Craig M. Vineyard, Stephen J. Verzi
Repeated play of the SVM game as a means of adaptive classification. IJCNN 2015: 1-8 - [c11]Craig M. Vineyard, Stephen J. Verzi
MapReduce SVM Game. INNS Conference on Big Data 2015: 298-307 - 2013
- [c10]Craig M. Vineyard, Stephen J. Verzi
Adult Neurogenesis: Implications on Human And Computational Decision Making. HCI (24) 2013: 531-540 - 2012
- [j1]Craig M. Vineyard, Stephen J. Verzi
A multi-modal network architecture for knowledge discovery. Secur. Informatics 1(1): 20 (2012) - [c9]Craig M. Vineyard, James B. Aimone
Neurogenesis in a High Resolution Dentate Gyrus Model. BICA 2012: 371-372 - [c8]Craig M. Vineyard, Glory R. Emmanuel, Stephen J. Verzi
A Game Theoretic Model of Neurocomputation. BICA 2012: 373-374 - [c7]Craig M. Vineyard, Gregory L. Heileman, Stephen J. Verzi
Game theoretic mechanism design applied to machine learning classification. CIP 2012: 1-5 - [c6]Craig M. Vineyard, Kiran Lakkaraju, Joseph Collard, Stephen J. Verzi
The Impact of Attitude Resolve on Population Wide Attitude Change. SBP 2012: 322-330 - 2011
- [c5]Craig M. Vineyard, Stephen J. Verzi
A Multimodal Hypertensor Architecture for Association Formation. BICA 2011: 419-424 - [c4]Craig M. Vineyard, Stephen J. Verzi
A neurophysiologically inspired hippocampus based associative-ART Artificial neural network architecture. IJCNN 2011: 2100-2105 - 2010
- [c3]Craig M. Vineyard, Michael L. Bernard, Shawn E. Taylor, Thomas P. Caudell, Patrick D. Watson, Stephen J. Verzi
A Neurologically Plausible Artificial Neural Network Computational Architecture of Episodic Memory and Recall. BICA 2010: 175-180
2000 – 2009
- 2009
- [c2]Shawn E. Taylor, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell, Neal J. Cohen, Patrick D. Watson, Stephen J. Verzi
Memory in Silico: Building a Neuromimetic Episodic Cognitive Model. CSIE (5) 2009: 733-737 - [c1]Shawn E. Taylor, Michael L. Bernard, Stephen J. Verzi
Temporal semantics: An Adaptive Resonance Theory approach. IJCNN 2009: 3111-3117
Coauthor Index
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