default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCraig M. Vineyard
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[j5]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:
Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer 56(3): 47-58 (2023)- [c31]Peter Helfer, Corinne Teeter, Aaron J. Hill, Craig M. Vineyard, James B. Aimone, Dhireesha Kudithipudi:
Context Modulation Enables Multi-tasking and Resource Efficiency in Liquid State Machines. ICONS 2023: 17:1-17:9 - [c30]William Severa, Suma George Cardwell, Michael Krygier, Fredrick H. Rothganger, Craig Michael Vineyard:
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, 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:
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, Corinne Teeter, Felix Wang, James B. Aimone:
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. NICE 2022: 40-49 - [i7]James B. Aimone, Aaron J. Hill, William M. Severa, Craig M. Vineyard:
Spiking Neural Streaming Binary Arithmetic. CoRR abs/2203.12662 (2022) - 2021
- [c28]James B. Aimone, Aaron J. Hill, William M. Severa, Craig M. Vineyard:
Spiking Neural Streaming Binary Arithmetic. ICRC 2021: 79-83 - 2020
- [j4]Frances S. Chance, James B. Aimone, Srideep Musuvathy, Michael R. Smith, Craig M. Vineyard, Felix Wang:
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, Aayush Ankit, Craig M. Vineyard, Kaushik Roy:
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, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone:
Training deep neural networks for binary communication with the Whetstone method. Nat. Mach. Intell. 1(2): 86-94 (2019) - [c21]James B. Aimone, William Severa, Craig M. Vineyard:
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, Fredrick H. Rothganger, Ojas Parekh, Tu-Thach Quach, Nadine E. Miner, Craig M. Vineyard, Conrad D. James, James B. Aimone:
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, William Severa, Felix Wang, James B. Aimone, John H. Naegle, Conrad D. James:
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, Craig M. Vineyard, Eric D. Vugrin, Meghan A. Galiardi, Conrad D. James, James B. Aimone:
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, Conrad D. James, James B. Aimone:
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, Conrad D. James, James B. Aimone, Gregory L. Heileman:
Repeated play of the SVM game as a means of adaptive classification. IJCNN 2015: 1-8 - [c11]Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman:
MapReduce SVM Game. INNS Conference on Big Data 2015: 298-307 - 2013
- [c10]Craig M. Vineyard, Stephen J. Verzi, Thomas P. Caudell, Michael L. Bernard, James B. Aimone:
Adult Neurogenesis: Implications on Human And Computational Decision Making. HCI (24) 2013: 531-540 - 2012
- [j1]Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Shawn E. Taylor, Irene Dubicka, Thomas P. Caudell:
A multi-modal network architecture for knowledge discovery. Secur. Informatics 1(1): 20 (2012) - [c9]Craig M. Vineyard, James B. Aimone, Glory R. Emmanuel:
Neurogenesis in a High Resolution Dentate Gyrus Model. BICA 2012: 371-372 - [c8]Craig M. Vineyard, Glory R. Emmanuel, Stephen J. Verzi, Gregory L. Heileman:
A Game Theoretic Model of Neurocomputation. BICA 2012: 373-374 - [c7]Craig M. Vineyard, Gregory L. Heileman, Stephen J. Verzi, Ramiro Jordan:
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, Michael L. Bernard, Thomas P. Caudell:
A Multimodal Hypertensor Architecture for Association Formation. BICA 2011: 419-424 - [c4]Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Shawn E. Taylor, Wendy L. Shaneyfelt, Irene Dubicka, Jonathan T. McClain, Thomas P. Caudell:
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, Neal J. Cohen, Howard Eichenbaum:
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, J. Daniel Morrow, Michael L. Bernard, Howard Eichenbaum:
Memory in Silico: Building a Neuromimetic Episodic Cognitive Model. CSIE (5) 2009: 733-737 - [c1]Shawn E. Taylor, Michael L. Bernard, Stephen J. Verzi, James D. Morrow, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell:
Temporal semantics: An Adaptive Resonance Theory approach. IJCNN 2009: 3111-3117
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-21 20:26 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
