Catherine D. Schuman

Seung-Hwan Lim

James B. Aimone

Neuromorph. Comput. Eng., 2024

Hardware software co-design for leveraging STDP in a memristive neuroprocessor.

[BibT_eX]

[DOI]

Neuromorph. Comput. Eng., 2024

AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators.

[BibT_eX]

[DOI]

Jean Anne C. Incorvia

Suma George Cardwell

CoRR, 2024

Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing.

[BibT_eX]

[DOI]

Charles P. Rizzo

CoRR, 2024

Embracing the Hairball: An Investigation of Recurrence in Spiking Neural Networks for Control.

[BibT_eX]

[DOI]

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

Energy Efficient Implementation of MVM Operations Using Filament-Free Bulk RRAM Array.

[BibT_eX]

[DOI]

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning.

[BibT_eX]

[DOI]

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

Evaluation of Neuron Parameters on the Performance of Spiking Neural Networks and Neuromorphic Hardware.

[BibT_eX]

[DOI]

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Hardware-Application Co-Design to Evaluate the Performance of an STDP-based Reservoir Computer.

[BibT_eX]

[DOI]

Hritom Das

Karan P. Patel

Shelah Ameli

Garrett S. Rose

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

A Memristive Reconfigurable Neuromorphic Array for Neuro-Inspired Dynamic Architectures.

[BibT_eX]

[DOI]

Hritom Das

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Device Codesign using Reinforcement Learning.

[BibT_eX]

[DOI]

Jean Anne C. Incorvia

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Towards Scalable and Efficient Spiking Reinforcement Learning for Continuous Control Tasks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Neuromorphic Systems, 2024

Competitive Co-Evolution with Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Neuromorphic Systems, 2024

Black-Box Adversarial Attacks on Spiking Neural Network for Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Neuromorphic Systems, 2024

Exploration of Novel Neuromorphic Methodologies for Materials Applications.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Neuromorphic Systems, 2024

SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Neuromorphic Systems, 2024

Transductive Spiking Graph Neural Networks for Loihi.

[BibT_eX]

[DOI]

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

2023

Avoiding excess computation in asynchronous evolutionary algorithms.

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., June, 2023

Multi-level, Forming Free, Bulk Switching Trilayer RRAM for Neuromorphic Computing at the Edge.

[BibT_eX]

[DOI]

CoRR, 2023

Spike-based Neuromorphic Computing for Next-Generation Computer Vision.

[BibT_eX]

[DOI]

CoRR, 2023

A Deep Dive into the Design Space of a Dynamically Reconfigurable Cryogenic Spiking Neuron.

[BibT_eX]

[DOI]

CoRR, 2023

Functional Specification of the RAVENS Neuroprocessor.

[BibT_eX]

[DOI]

CoRR, 2023

Enhanced Read Resolution in Reconfigurable Memristive Synapses for Spiking Neural Networks.

[BibT_eX]

[DOI]

Hritom Das

Garrett S. Rose

CoRR, 2023

Benchmarking the human brain against computational architectures.

[BibT_eX]

[DOI]

Céline van Valkenhoef

Konstantinos P. Michmizos

Philip Walther

CoRR, 2023

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

[BibT_eX]

[DOI]

Dhireesha Kudithipudi

Gregor Lenz

Rajit Manohar

Christian Mayr

Kenneth Michael Stewart

CoRR, 2023

Neuromorphic Downsampling of Event-Based Camera Output.

[BibT_eX]

[DOI]

Charles Rizzo

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Impact of Noisy Input on Evolved Spiking Neural Networks for Neuromorphic Systems.

[BibT_eX]

[DOI]

Karan P. Patel

Gabriel A. Fonseca Guerra

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification.

[BibT_eX]

[DOI]

Georgia Channing

Ria Patel

Paula Olaya

Ariel Keller Rorabaugh

Proceedings of the 52nd International Conference on Parallel Processing, 2023

Impact of Neuron Firing Rate on Application and Algorithm Performance.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

DVSGesture Recognition with Neuromorphic Observation Space Reduction Techniques.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments.

[BibT_eX]

[DOI]

Shruti R. Kulkarni

Aaron R. Young

Prasanna Date

Narasinga Rao Miniskar

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Performance Optimization Study of the Neuromorphic Radiation Anomaly Detector.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Algorithm and Application Impacts of Programmable Plasticity in Spiking Neuromorphic Hardware.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2023

VINARCH: A Visual Analytics Interactive Tool for Neural Network Archaeology.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cluster Computing, 2023

Evaluating Neuron Models through Application-Hardware Co-Design.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

A review of non-cognitive applications for neuromorphic computing.

[BibT_eX]

[DOI]

James B. Aimone

Prasanna Date

Neuromorph. Comput. Eng., June, 2022

Guest Editorial: Special Section on Parallel and Distributed Computing Techniques for Non-Von Neumann Technologies.

[BibT_eX]

[DOI]

Scott Pakin

Christof Teuscher

IEEE Trans. Parallel Distributed Syst., 2022

Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2022

Evolutionary vs imitation learning for neuromorphic control at the edge.

[BibT_eX]

[DOI]

Nicholas Quentin Haas

Neuromorph. Comput. Eng., 2022

Publisher Correction: Opportunities for neuromorphic computing algorithms and applications.

[BibT_eX]

[DOI]

Nat. Comput. Sci., 2022

Opportunities for neuromorphic computing algorithms and applications.

[BibT_eX]

[DOI]

Nat. Comput. Sci., 2022

Unsupervised Digit Recognition Using Cosine Similarity In A Neuromemristive Competitive Learning System.

[BibT_eX]

[DOI]

ACM J. Emerg. Technol. Comput. Syst., 2022

Disclosure of a Neuromorphic Starter Kit.

[BibT_eX]

[DOI]

CoRR, 2022

Biological connectomes as a representation for the architecture of artificial neural networks.

[BibT_eX]

[DOI]

Samuel Schmidgall

Maryam Parsa

CoRR, 2022

Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron.

[BibT_eX]

[DOI]

CoRR, 2022

The Case for RISP: A Reduced Instruction Spiking Processor.

[BibT_eX]

[DOI]

CoRR, 2022

Neuromorphic Computing for Scientific Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop, 2022

A Framework to Enable Top-Down Co-Design of Neuromorphic Systems for Real-World Applications.

[BibT_eX]

[DOI]

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

Virtual Neuron: A Neuromorphic Approach for Encoding Numbers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Rebooting Computing, 2022

Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation.

[BibT_eX]

[DOI]

Jean Anne C. Incorvia

James B. Aimone

Proceedings of the IEEE International Conference on Rebooting Computing, 2022

Training reinforcement learning models via an adversarial evolutionary algorithm.

[BibT_eX]

[DOI]

Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022

Evaluating Encoding and Decoding Approaches for Spiking Neuromorphic Systems.

[BibT_eX]

[DOI]

Charles Rizzo

John McDonald-Carmack

Nicholas D. Skuda

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Event-Based Camera Simulation Wrapper for Arcade Learning Environment.

[BibT_eX]

[DOI]

Charles Rizzo

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

A Neuromorphic Algorithm for Radiation Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Neuromorphic Computing is Turing-Complete.

[BibT_eX]

[DOI]

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Semi-Supervised Graph Structure Learning on Neuromorphic Computers.

[BibT_eX]

[DOI]

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets.

[BibT_eX]

[DOI]

Ria Patel

Ariel Keller Rorabaugh

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

Design of a Robust Memristive Spiking Neuromorphic System with Unsupervised Learning in Hardware.

[BibT_eX]

[DOI]

Md Musabbir Adnan

Sagarvarma Sayyaparaju

Samuel D. Brown

Mst Shamim Ara Shawkat

Garrett S. Rose

ACM J. Emerg. Technol. Comput. Syst., 2021

Stochasticity and robustness in spiking neural networks.

[BibT_eX]

[DOI]

Wilkie Olin-Ammentorp

Neurocomputing, 2021

Benchmarking the performance of neuromorphic and spiking neural network simulators.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2021

An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment.

[BibT_eX]

[DOI]

Robert M. Patton

CoRR, 2021

Avoiding Excess Computation in Asynchronous Evolutionary Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence Systems, 2021

Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Spiking Neuromorphic Networks for Binary Tasks.

[BibT_eX]

[DOI]

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Neuromorphic Computing for Autonomous Racing.

[BibT_eX]

[DOI]

Nicholas Quentin Haas

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach.

[BibT_eX]

[DOI]

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Low Power Hardware-In-The-Loop Neuromorphic Training Accelerator.

[BibT_eX]

[DOI]

J. Parker Mitchell

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation.

[BibT_eX]

[DOI]

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Neuromorphic Graph Algorithms: Cycle Detection, Odd Cycle Detection, and Max Flow.

[BibT_eX]

[DOI]

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Computational Complexity of Neuromorphic Algorithms.

[BibT_eX]

[DOI]

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge.

[BibT_eX]

[DOI]

Proceedings of the 12th International Green and Sustainable Computing Workshops, 2021

Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Accelerating Scientific Computing in the Post-Moore's Era.

[BibT_eX]

[DOI]

ACM Trans. Parallel Comput., 2020

Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks.

[BibT_eX]

[DOI]

Stylianos Chatzidakis

CoRR, 2020

Training Spiking Neural Networks Using Combined Learning Approaches.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Evolutionary Optimization for Neuromorphic Systems.

[BibT_eX]

[DOI]

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

Caspian: A Neuromorphic Development Platform.

[BibT_eX]

[DOI]

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

Neuromorphic Graph Algorithms: Extracting Longest Shortest Paths and Minimum Spanning Trees.

[BibT_eX]

[DOI]

Bill Kay

Prasanna Date

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

Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks.

[BibT_eX]

[DOI]

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

Automated Design of Neuromorphic Networks for Scientific Applications at the Edge.

[BibT_eX]

[DOI]

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

Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems.

[BibT_eX]

[DOI]

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

Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment.

[BibT_eX]

[DOI]

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

GRANT: Ground-Roaming Autonomous Neuromorphic Targeter.

[BibT_eX]

[DOI]

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

A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs.

[BibT_eX]

[DOI]

J. Parker Mitchell

Thomas E. Potok

Proceedings of the International Conference on Neuromorphic Systems, 2020

Spike-based graph centrality measures.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Neuromorphic Systems, 2020

Modeling epidemic spread with spike-based models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Neuromorphic Systems, 2020

Neuroevolution of Spiking Neural Networks Using Compositional Pattern Producing Networks.

[BibT_eX]

[DOI]

Daniel Elbrecht

Proceedings of the International Conference on Neuromorphic Systems, 2020

Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency.

[BibT_eX]

[DOI]

Proceedings of the 11th International Green and Sustainable Computing Workshops, 2020

2019

Efficiently embedding QUBO problems on adiabatic quantum computers.

[BibT_eX]

[DOI]

Quantum Inf. Process., 2019

Spike-based primitives for graph algorithms.

[BibT_eX]

[DOI]

Kathleen E. Hamilton

Tiffany M. Mintz

CoRR, 2019

Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

Fine-Grained Exploitation of Mixed Precision for Faster CNN Training.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019

Non-Traditional Input Encoding Schemes for Spiking Neuromorphic Systems.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Intelligent Reservoir Generation for Liquid State Machines using Evolutionary Optimization.

[BibT_eX]

[DOI]

John J. M. Reynolds

Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Island model for parallel evolutionary optimization of spiking neuromorphic computing.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Evolving Energy Efficient Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Exascale Deep Learning to Accelerate Cancer Research.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Visualization System for Evolutionary Neural Networks for Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers.

[BibT_eX]

[DOI]

Federico M. Spedalieri

ACM J. Emerg. Technol. Comput. Syst., 2018

Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level.

[BibT_eX]

[DOI]

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Adiabatic Quantum Computation Applied to Deep Learning Networks.

[BibT_eX]

[DOI]

Jeremy Liu

Federico M. Spedalieri

Entropy, 2018

A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems.

[BibT_eX]

[DOI]

Md Musabbir Adnan

Sagarvarma Sayyaparaju

Proceedings of the 31st IEEE International System-on-Chip Conference, 2018

167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2018

High-Level Simulation for Spiking Neuromorphic Computing Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Neural Networks and Graph Algorithms with Next-Generation Processors.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks.

[BibT_eX]

[DOI]

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

Understanding Selection And Diversity For Evolution Of Spiking Recurrent Neural Networks.

[BibT_eX]

[DOI]

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

Design of Superconducting Optoelectronic Networks for Neuromorphic Computing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018

Energy and Area Efficiency in Neuromorphic Computing for Resource Constrained Devices.

[BibT_eX]

[DOI]

Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017

A Survey of Neuromorphic Computing and Neural Networks in Hardware.

[BibT_eX]

[DOI]

CoRR, 2017

Evaluating online-learning in memristive neuromorphic circuits.

[BibT_eX]

[DOI]

Proceedings of the Neuromorphic Computing Symposium, 2017

Neuromorphic computing for temporal scientific data classification.

[BibT_eX]

[DOI]

Proceedings of the Neuromorphic Computing Symposium, 2017

A programming framework for neuromorphic systems with emerging technologies.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, 2017

The effect of biologically-inspired mechanisms in spiking neural networks for neuromorphic implementation.

[BibT_eX]

[DOI]

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

Structure-based fitness prediction for the variable-structure DANNA neuromorphic architecture.

[BibT_eX]

[DOI]

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

A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016

Parallel Evolutionary Optimization for Neuromorphic Network Training.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Machine Learning in HPC Environments, 2016

An evolutionary optimization framework for neural networks and neuromorphic architectures.

[BibT_eX]

[DOI]

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

An Application Development Platform for neuromorphic computing.

[BibT_eX]

[DOI]

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

2015

Dynamic adaptive neural network arrays: a neuromorphic architecture.

[BibT_eX]

[DOI]

Adam Disney

John Reynolds

Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments, 2015

2014

Dynamic Adaptive Neural Network Array.

[BibT_eX]

[DOI]

Mark E. Dean

J. Douglas Birdwell

Proceedings of the Unconventional Computation and Natural Computation, 2014

Visual analytics for neuroscience-inspired dynamic architectures.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Foundations of Computational Intelligence, 2014

Spatiotemporal Classification Using Neuroscience-Inspired Dynamic Architectures.

[BibT_eX]

[DOI]

J. Douglas Birdwell

Mark E. Dean

Proceedings of the 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014

2012

Heuristics for optimizing matrix-based erasure codes for fault-tolerant storage systems.

[BibT_eX]

[DOI]