Craig M. Vineyard

Orcid: 0000-0002-4787-6160

According to our database1, Craig M. Vineyard authored at least 44 papers between 2009 and 2024.

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Bibliography

2024
Strategic Considerations for Neuromorphic Computing.
Proceedings of the International Conference on Neuromorphic Systems, 2024

2023
Research Challenges for Energy-Efficient Computing in Automated Vehicles.
Computer, March, 2023

Neuromorphic Co-Design as a Game.
CoRR, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023

Neuromorphic Population Evaluation using the Fugu Framework.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Context Modulation Enables Multi-tasking and Resource Efficiency in Liquid State Machines.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

2021
Spiking Neural Streaming Binary Arithmetic.
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.
Frontiers Comput. Neurosci., 2020

Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC.
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.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Comparing Neural Accelerators & Neuromorphic Architectures The False Idol of Operations.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Effective Pruning of Binary Activation Neural Networks.
Proceedings of the International Conference on Neuromorphic Systems, 2020

Low-Complexity Fixed-Point Convolutional Neural Networks For Automatic Target Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Training deep neural networks for binary communication with the Whetstone method.
Nat. Mach. Intell., 2019

Distillation Strategies for Proximal Policy Optimization.
CoRR, 2019

Benchmarking Event-Driven Neuromorphic Architectures.
Proceedings of the International Conference on Neuromorphic Systems, 2019

Composing neural algorithms with Fugu.
Proceedings of the International Conference on Neuromorphic Systems, 2019

2018
Computing with Spikes: The Advantage of Fine-Grained Timing.
Neural Comput., 2018

Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication.
CoRR, 2018

Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Mathematical Optimizations for Deep Learning.
Proceedings of the Cyber-Physical Systems Security., 2018

2017
A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines.
CoRR, 2017

Optimization-based computation with spiking neurons.
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.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Neurogenesis deep learning: Extending deep networks to accommodate new classes.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Spike-Timing Neuromorphic Architecture.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016
Neurogenesis Deep Learning.
CoRR, 2016

Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Overcoming the Static Learning Bottleneck - the need for adaptive neural learning.
Proceedings of the IEEE International Conference on Rebooting Computing, 2016

2015
MapReduce SVM Game.
Proceedings of the INNS Conference on Big Data 2015, 2015

Repeated play of the SVM game as a means of adaptive classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013
Adult Neurogenesis: Implications on Human And Computational Decision Making.
Proceedings of the Foundations of Augmented Cognition, 2013

2012
A multi-modal network architecture for knowledge discovery.
Secur. Informatics, 2012

The Impact of Attitude Resolve on Population Wide Attitude Change.
Proceedings of the Social Computing, Behavioral - Cultural Modeling and Prediction, 2012

Game theoretic mechanism design applied to machine learning classification.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

A Game Theoretic Model of Neurocomputation.
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.
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.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A Multimodal Hypertensor Architecture for Association Formation.
Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

2010
A Neurologically Plausible Artificial Neural Network Computational Architecture of Episodic Memory and Recall.
Proceedings of the Biologically Inspired Cognitive Architectures 2010, 2010

2009
Temporal semantics: An Adaptive Resonance Theory approach.
Proceedings of the International Joint Conference on Neural Networks, 2009

Memory in Silico: Building a Neuromimetic Episodic Cognitive Model.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009


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