Research Publications

Evaluation of Ferroelectric Devices for Neuromorphic Applications

• December, 2024
• Julia Steed, Sebastian M. Boussard, Andreu L. Glasmann, Sina Najmaei, James S. Plank and Catherine D. Schuman
• IEEE International Conference on Rebooting Computing (ICRC)

The RISP Neuroprocessor -- Open Source Support for Embedded Neuromorphic Computing

• December, 2024
• James S. Plank, Keegan E. M. Dent, Bryson Gullett, Charles P. Rizzo and Catherine D. Schuman
• IEEE International Conference on Rebooting Computing (ICRC)

The Cart-Pole Application as a Benchmark for Neuromorphic Computing

• December, 2024
• James S. Plank, Charles P. Rizzo, Chris A. White and Catherine D. Schuman
• Published on Preprints.

A Neuromorphic Implementation of the DBSCAN Algorithm

• September, 2024
• Charles P. Rizzo and James S. Plank
• Published on arXiv.

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

• April, 2024
• C. D. Schuman and C. P. Rizzo and G. S. Rose and J. S. Plank
• Neuro-Inspired Computational Elements Conference

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

• January, 2024
• C. P. Rizzo and C. D. Schuman and J. S. Plank
• Published on arXiv.

Optimizations for a Current-Controlled Memristor-based Neuromorphic Synapse Design

• September, 2023
• Hritom Das, Rocco D. Febbo, Charles P. Rizzo, Nishith N. Chakraborty, James S. Plank, Garrett S. Rose
• IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Design Space Exploration for Threshold Switch Assisted Memristive Memory

• August, 2023
• S. Alam, M. M. Islam, J. Hutchins, N. Cady, S. K. Gupta, G. Rose, and A. Aziz
• IEEE Transactions on Nanotechnology

Homeostatic Plasticity in a Leaky Integrate and Fire Neuron using Tunable Leak

• August, 2023
• N. N. Chakraborty and H. Das and G. S. Rose
• 66th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

Algorithm and Application Impacts of Programmable Plasticity in Spiking Neuromorphic Hardware

• August, 2023
• Shelah O. Ameli, Adam Foshie, Drew Friend, James S. Plank, Garrett S. Rose and Catherine D. Schuman
• ICONS: International Conference on Neuromorphic Systems

DVSGesture Recognition with Neuromorphic Observation Space Reduction Techniques

• August, 2023
• Charles Rizzo, Luke McCombs, Braxton Haynie, Catherine Schuman and James S. Plank
• ICONS: International Conference on Neuromorphic Systems

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

• August, 2023
• Shruti R. Kulkarni, Aaron Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corinne Mills, Alice Bean, Catherine Schuman, Morris Swartz and Petar Maksimovic
• ICONS: International Conference on Neuromorphic Systems

Functional Specification of the RAVENS Neuroprocessor

• July, 2023
• Adam Z. Foshie, James S. Plank, Garrett S. Rose and Catherine D. Schuman
• Published on arXiv.

Encoding integers and rationals on neuromorphic computers using virtual neuron

• July, 2023
• Prasanna Date, Shruti Kulkarni, Aaron Young, Catherine Schuman, Thomas Potok, and Jeffrey Vetter
• Nature Scientific Reports

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

• April, 2023
• Karan P. Patel and Catherine D. Schuman
• Neuro-Inspired Computational Elements Conference

Neuromorphic Downsampling of Event-Based Camera Output

• April, 2023
• Charles P. Rizzo, Catherine D. Schuman, and James S. Plank
• Neuro-Inspired Computational Elements Conference

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

• March, 2023
• Suma G. Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne Incorvia, and James B. Aimone
• 2022 IEEE International Conference on Rebooting Computing (ICRC)

Virtual Neuron: A Neuromorphic Approach for Encoding Numbers

• March, 2023
• Prasanna Date, Shruti Kulkarni, Aaron Young, Catherine Schuman, Thomas Potok, and Jeffrey S. Vetter
• 2022 IEEE International Conference on Rebooting Computing (ICRC)

Neuromorphic Computing for Scientific Applications

• February, 2023
• Robert Patton, Prasanna Date, Shruti Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven R. Young, Mark Coletti, Thomas E. Potok, and Catherine D. Schuman
• 2022 IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop (RSDHA)

Application-Hardware Co-Design: System-Level Optimization of Neuromorphic Computers with Neuromorphic Devices

• December, 2022
• Catherine D. Schuman, James S. Plank, and Garrett S. Rose
• 2022 International Electron Devices Meeting (IEDM)

Lessons Learned in Omnidirectional Co-Design of Neuromorphic Systems

• November, 2022
• Catherine D. Schuman, James S. Plank, Garrett S. Rose and Maryam Parsa
• International Meeting for Future of Electron Devices, Kansai (IMFEDK)

Probabilistic Neural Computing with Stochastic Devices

• November, 2022
• Shashank Misra, Leslie C. Bland, Suma G. Cardwell, Jean Anne C. Incorvia, Conrad D. James, Andrew D. Kent, Catherine D. Schuman, J. Darby Smith, and James B. Aimone
• Advanced Materials

Disclosure of a Neuromorphic Starter Kit

• November, 2022
• James S. Plank, Bryson Gullett, Adam Z. Foshie, Garrett S. Rose and Catherine D. Schuman
• Published on arXiv.

A review of non-cognitive applications for neuromorphic computing

• September, 2022
• James Aimone, Prasanna Date, Gabriel Fonseca-Guerra, Kathleen Hamilton, Kyle Henke, Bill Kay, Garrett Kenyon, Shruti Kulkarni, Susan Mniszewski, Maryam Parsa, Sumedh Risbud, Catherine Schuman, William Severa, and J. Darby Smith
• IOP Neuromorphic Computing and Engineering

Event-Based Camera Simulation Wrapper for Arcade Learning Environment

• July, 2022
• Charles P. Rizzo, Catherine D. Schuman and James S. Plank
• ICONS: International Conference on Neuromorphic Systems

Semi-Supervised Graph Structure Learning on Neuromorphic Computers

• July, 2022
• Guojing Cong, Seung-Hwan Lim, Shruti Kulkarni, Prasanna Date, Thomas Potok, Shay Snyder, Maryam Parsa, and Catherine Schuman
• Proceedings of the International Conference on Neuromorphic Systems 2022

Evaluating Encoding and Decoding Approaches for Spiking Neuromorphic Systems

• July, 2022
• Catherine D. Schuman, Charles Rizzo, John McDonald-Carmack, Nicholas Skuda and James S. Plank
• ICONS: International Conference on Neuromorphic Systems

A Neuromorphic Algorithm for Radiation Anomaly Detection

• July, 2022
• James Ghawaly, Aaron Young, Dan Archer, Nick Prins, Brett Witherspoon, and Catherine Schuman
• Proceedings of the International Conference on Neuromorphic Systems 2022

The Case for RISP: A Reduced Instruction Spiking Processor

• June, 2022
• James S. Plank, ChaoHui Zheng, Bryson Gullett, Nicholas Skuda, Charles Rizzo, Catherine D. Schuman and Garrett S. Rose
• Published on arXiv.

Benchmark Comparisons of Spike-Based Reconfigurable Neuroprocessor Architectures for Control Applications

• June, 2022
• Adam Z. Foshie, Charles Rizzo, Hritom Das, ChaoHui Zheng, James S. Plank, and Garrett S. Rose
• GLSVLSI - Great Lakes Symposium on VLSI

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

• March, 2022
• Bon Woong Ku, Catherine D. Schuman, Md Musabbir Adnan, Tiffany M. Mintz, Raphael Pooser, Kathleen E. Hamilton, Garrett S. Rose and Sung Kyu Lim
• ACM Journal on Emerging Technologies in Computer Systems (JETC)

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

• February, 2022
• Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young and J. Parker Mitchell
• IEEE Transactions on Control Systems Technology

Opportunities for neuromorphic computing algorithms and applications

• January, 2022
• Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date and Bill Kay
• Nature Computational Science

Evolutionary vs imitation learning for neuromorphic control at the edge

• January, 2022
• Catherine Schuman, Robert Patton, Shruti Kulkarni, Maryam Parsa, Christopher Stahl, N. Quentin Haas, J. Parker Mitchell, Shay Snyder, Amelie Nagle, Alexandra Shanafield and Tom Potok
• Neuromorphic Computing and Engineering

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

• October, 2021
• Catherine D. Schuman, Steven R. Young and Bryan P. Maldonao and Brian C. Kaul
• 12th International Green and Sustainable Computing Conference (IGSC)

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

• September, 2021
• James S. Plank, Catherine D. Schuman and Robert M. Patton
• Published on arXiv.

Neuromorphic Computing for Autonomous Racing

• July, 2021
• Robert Patton, Catherine Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, N. Quentin Haas, Christopher Stahl, Spencer Paulissen, Prasanna Date, Thomas Potok and Shay Snyder
• ICONS: International Conference on Neuromorphic Systems

Spiking Neuromorphic Networks for Binary Tasks

• July, 2021
• James S. Plank, ChaoHui Zheng, Catherine D. Schuman and Christopher Dean
• ICONS: International Conference on Neuromorphic Systems

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

• July, 2021
• Bill Kay, Catherine Schuman, Jade O’Connor, Prasanna Date and Thomas Potok
• ICONS: International Conference on Neuromorphic Systems

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

• July, 2021
• Maryam Parsa, Catherine Schuman, Nitin Rathi, Amir Ziabari, Derek Rose, J. Parker Mitchell, J. Travis Johnston, Bill Kay, Steven Young and Kaushik Roy
• ICONS: International Conference on Neuromorphic Systems

Computational Complexity of Neuromorphic Algorithms

• July, 2021
• Prasanna Date, Bill Kay, Catherine Schuman, Robert Patton and Thomas Potok
• ICONS: International Conference on Neuromorphic Systems

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

• July, 2021
• J. P. Mitchell and C. D. Schuman
• ICONS: International Conference on Neuromorphic Systems

Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation

• July, 2021
• Shruti Kulkarni, Maryam Parsa, J. Parker Mitchell and Catherine Schuman
• ICONS: International Conference on Neuromorphic Systems

A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems

• July, 2021
• Catherine D. Schuman, James S. Plank, Maryam Parsa, Shruti R. Kulkarni, Nicholas Skuda and J. Parker Mitchell
• IJCNN: The International Joint Conference on Neural Networks

A Multi-Context Neural Core Design for Reconfigurable Neuromorphic Arrays

• July, 2021
• Adam Z. Foshie, Nishith N. Chakraborty, John J. Murray, Tanner J. Fowler, Mst Shamim Ara Shawkat and Garrett S. Rose
• IEEE Computer Society Annual Symposium on VLSI (ISVLSI)

Scaling Constraints for Memristor-based Programmable Interconnect in Reconfigurable Computing Arrays

• July, 2021
• John J. Murray and Adam Z. Foshie and Mst Shamim Ara Shawkat and Garrett S. Rose
• IEEE Computer Society Annual Symposium on VLSI (ISVLSI)

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

• June, 2021
• M. M. Adnan, S. Sayyaparaju, S. D. Brown, M. S. A. Shawkat, C. D. Schuman and G. S. Rose
• ACM Journal on Emerging Technologies in Computer Systems (JETC)

Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution

• June, 2021
• Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey Bassett, J. Parker Mitchell and Catherine D. Schuman
• IEEE Congress on Evolutionary Computation (CEC)

Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers

• June, 2021
• C. D. Schuman and B. Kay and P. Date and R. Kannan and P. Sao and T. E. Potok
• IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

Benchmarking the Performance of Neuromorphic and Spiking Neural Simulators

• March, 2021
• Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell and Catherine D. Schuman
• Neurocomputing, Volume 447, March, 2021.

Method and Apparatus for Constructing a Neuroscience-Inspired Artificial Neural Network with Visualization of Neural Pathways

• February, 2021
• J. Douglas Birdwell, Mark E. Dean, Meg Drouhard and Catherine Schuman
• US Patent 10,929,745

Stochasticity and robustness in spiking neural networks

• January, 2021
• W. Olin-Ammentorp, K. Beckmann, C. D. Schuman, J. S. Plank and N. C. Cady
• Neurocomputing, Volume 419, January, 2021.

Reducing the Size of Spiking Convolutional Neural Networks by Trading Time for Space

• December, 2020
• James S. Plank, Jiajia Zhao and Brent Hurst
• IEEE International Conference on Rebooting Computing (ICRC 2020)

Training Spiking Neural Networks Using Combined Learning Approaches

• December, 2020
• D. Elbrecht and M. Parsa and S. R. Kulkarni and J. P. Mitchell and C. D. Schuman
• IEEE Symposium Series on Computational Intelligence (SSCI)

Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems

• December, 2020
• D. Elbrecht and S. R. Kulkarni and M. Parsa and J. P. Mitchell and C. D. Schuman
• IEEE Symposium Series on Computational Intelligence (SSCI)

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

• October, 2020
• C. D. Schuman and S. R. Young and J. P. Mitchell and J. T. Johnston and D. Rose and B. P. Maldonado and B. C. Kaul
• IEEE Symposium Series on Computational Intelligence (SSCI)

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

• July, 2020
• J. Parker Mitchell, Catherine D. Schuman and Thomas E. Potok
• ICONS: International Conference on Neuromorphic Systems

Neuroevolution of Spiking Neural Networks Using Compositional Pattern Producing Networks

• July, 2020
• Daniel Albrecht and Catherine Schuman
• ICONS: International Conference on Neuromorphic Systems

Spike-based graph centrality measures

• July, 2020
• Kathleen Hamilton, Tiffany Mintz, Prasanna Date and Catherine D. Schuman
• ICONS: International Conference on Neuromorphic Systems

Modeling epidemic spread with spike-based models

• July, 2020
• Kathleen Hamilton, Prasanna Date, Bill Kay and Catherine D. Schuman
• ICONS: International Conference on Neuromorphic Systems

Bayesian Multi-Objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator Design

• July, 2020
• Maryam Parsa, John P. Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, and Kaushik Roy.
• Frontiers in Neuroscience

GRANT: Ground Roaming Autonomous Neuromorphic Targeter

• July, 2020
• Jonathan D. Ambrose, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman and Grant Bruer
• IJCNN: The International Joint Conference on Neural Networks

Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment

• July, 2020
• Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok and Kaushik Roy
• IJCNN: The International Joint Conference on Neural Networks

Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems

• July, 2020
• Catherine Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date and Robert M. Patton
• IJCNN: The International Joint Conference on Neural Networks

Automated Design of Neuromorphic Networks for Scientific Applications at the Edge

• July, 2020
• Catherine D. Schuman, J. Parker Mitchell, Maryam Parsa, James S. Plank, Samuel D. Brown, Garrett S. Rose, Robert M. Patton and Thomas E. Potok
• IJCNN: The International Joint Conference on Neural Networks

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

• July, 2020
• A. R. Young, A. Z. Foshie, M. E. Dean, J. S. Plank, G. S. Rose, J. P. Mitchell and C. D. Schuman
• IJCNN: The International Joint Conference on Neural Networks

GRANT: Ground Roaming Autonomous Neuromorphic Targeter

• May, 2020
• Jonathan D. Ambrose
• Masters Thesis - University of Tennessee

Device-aware Circuit Design for Robust Memristive Neuromorphic Systems with STDP-based Learning

• May, 2020
• Sagarvarma Sayyaparaju, Md Musabbir Adnan, Sherif Amer and Garrett S. Rose
• ACM Journal on Emerging Technologies in Computing Systems

SNACC: The Scaled-up Neuromorphic Array Communications Controller

• May, 2020
• Aaron R. Young
• Phd Dissertation, University of Tennessee

Towards Synaptic Behavior of Nanoscale ReRAM Devices for Neuromorphic Computing Applications

• April, 2020
• Karsten Beckmann, Wilkie Olin-Ammentorp, Gangotree Chakma, Sherif Amer, Garrett S. Rose, Chris Hobbs, Joseph Van Nostrand, Martin Rodgers and Nathaniel C. Cady
• ACM Journal on Emerging Technologies in Computing Systems

Caspian: A Neuromorphic Development Platform

• March, 2020
• J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton and Thomas E. Potok
• NICE: Neuro-Inspired Computational Elements Workshop

Evolutionary Optimization for Neuromorphic Systems

• March, 2020
• Catherine D. Schuman, J. Parker Mitchell, Robert M. Patton, Thomas E. Potok and James S. Plank
• NICE: Neuro-Inspired Computational Elements Workshop

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

• March, 2020
• Bill Kay and Prasanna Date and Catherine Schuman
• NICE: Neuro-Inspired Computational Elements Workshop

Accelerating scientific computing in the post-Moore’s era

• March, 2020
• Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Ryan S. Bennink, Neena Imam, and Travis S. Humble
• ACM Transactions on Parallel Computing (TOPC), Volume 7, Number 1

Bayesian-Based Hyperparameter Optimization for Spiking Neuromorphic Systems

• December, 2019
• Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok and Kaushik Roy
• IEEE International Conference on Big Data

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

• October, 2019
• Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell and Thomas E. Potok
• UEMCON: IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference

A Review of Spiking Neuromorphic Hardware Communication Systems

• September, 2019
• Aaron R. Young, Mark E. Dean, James S. Plank and Garrett S. Rose
• IEEE Access

Whetstone Trained Spiking Deep Neural Networks to Spiking Neural Networks

• August, 2019
• Grace (Jiajia) Zhao
• Masters Thesis, University of Tennessee

Fabrication and Performance of Hybrid ReRAM-CMOS Circuit Elements for Dynamic Neural Networks

• July, 2019
• Maximilian Liehr, Jubin Hazra, Karsten Beckmann, Wilkie Olin-Ammentorp, Nathaniel Cady, Ryan Weiss, Sagarvarma Sayyaparaju, Garrett Rose and Joseph Van Nostran
• ICONS: International Conference on Neuromorphic Systems

Non-Traditional Input Encoding Schemes for Spiking Neuromorphic Systems

• July, 2019
• Catherine D. Schuman, James S. Plank, Grant Bruer and Jeremy Anantharaj
• IJCNN: The International Joint Conference on Neural Networks

Intelligent Reservoir Generation for Liquid State Machines using Evolutionary Optimization

• July, 2019
• John J. M. Reynolds, James S. Plank and Catherine D. Schuman
• IJCNN: The International Joint Conference on Neural Networks

Method and apparatus for providing real-time monitoring of an artifical neural network

• April, 2019
• J. Douglas Birdwell, Mark E. Dean and Catherine Schuman
• US Patent 10,248,675

Adapting Spiking Networks to Neuromorphic Hardware Subject to Process Variability

• March, 2019
• Nathaniel Cady, Wilkie Olin-Ammentorp, Karsten Beckmann, Joseph Van Nostrand, Gangotree Chakma, Sherif Amer, Ryan Weiss, Sagarvarma Sayyaparaju, Mussabir Adnan, John Murray, Mark Dean, James S. Plank and Garrett Rose
• 44th Annual GOMACTech Conference

The TENNLab Suite of LIDAR-Based Control Applications for Recurrent, Spiking, Neuromorphic Systems

• March, 2019
• James S. Plank, Charles Rizzo, Kirolos Shahat, Grant Bruer, Trevor Dixon, Michael Goin, Grace Zhao, Jeremy Anantharaj, Catherine D. Schuman, Mark E. Dean, Garrett S. Rose, Nathaniel C. Cady and Joseph Van Nostrand
• 44th Annual GOMACTech Conference

Spike-based primitives for graph algorithms

• March, 2019
• Kathleen E. Hamilton, Tiffany M. Mintz, Catherine D. Schuman
• Published on arXiv.

A Multi-Driver Write Scheme for Reliable and Energy Efficient 1S1R ReRAM Crossbar Arrays

• March, 2019
• Sherif Amer and Garrett Rose
• 20th International Symposium on Quality Electronic Design (ISQED)

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

• January, 2019
• Joseph S. Najem, Graham J. Taylor, Nick Armendarez, Ryan J. Weiss, Md Sakib Hasan, Garrett S. Rose, Catherine D. Schuman, Alex Belianinov, Stephen A. Sarles, and C. Patrick Collier
• Journal of Visualized Experiments (JoVE)

The TENNLab Exploratory Neuromorphic Computing Framework

• December, 2018
• James S. Plank, Catherine D. Schuman, Grant Bruer, Mark E. Dean and Garrett S. Rose
• IEEE Letters of the Computer Society

Biomimetic, Soft-Material Synapse for Neuromorphic Computing: From Device to Network

• November, 2018
• Md Sakib Hasan, Catherine D. Schuman, Joseph S. Najem, Ryan Weiss, Nicholas D. Skuda, Alex Belianinov, C. Patrick Collier, Stephen A. Sarles, and Garrett S. Rose
• IEEE 13th Dallas Circuits and Systems Conference (DCAS)

Design of superconducting optoelectronic networks for neuromorphic computing

• November, 2018
• Sonia Buckley, Adam N. McCaughan, Jeff Chiles, Richard P. Mirin, Sae Woo Nam, Jeffrey M. Shainline, Grant Bruer, James S. Plank and Catherine D. Schuman
• IEEE International Conference on Rebooting Computing (ICRC 2018)

A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems

• October, 2018
• Ryan Weiss, Joseph S. Najem, Md Sakib Hasan, Catherine D. Schuman, Alex Belianinov, C. Patrick Collier, Stephen A. Sarles, and Garrett S. Rose
• IEEE Biomedical Circuits and Systems Conference (BioCAS)

Response of a Memristive Biomembrane and Demonstration of Potential Use in Online Learning

• October, 2018
• Md Sakib Hasan, Joseph S. Najem, Ryan Weiss, Catherine D. Schuman, Alex Belianinov, C. Patrick Collier, Stephen A. Sarles, and Garrett S. Rose
• IEEE 13th Nanotechnology Materials and Devices Conference (NMDC)

SPICE Modeling of Insulator Metal Transition: Model of the Critical Temperature

• October, 2018
• Sherif Amer, Md Sakib Hasan, Md Musabbir Adnan, and Garrett S. Rose
• IEEE Journal of the Electron Devices Society

Method and apparatus for constructing a dynamic adaptive neural network array (DANNA)

• October, 2018
• J. Douglas Birdwell, Mark E. Dean and Catherine Schuman
• US Patent 10,095,718

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

• September, 2018
• Md Musabbir Adnan, Sagarvarma Sayyaparaju, Garrett S. Rose, Catherine D. Schuman, Bon Woong Ku, and Sung Kyu Lim
• 31sh IEEE International System-on-Chip Conference (SOCC)

Method and Apparatus for Providing Random Selection and Long-Term Potentiation and Depression in an Artificial Network

• August, 2018
• J. Douglas Birdwell, Mark E. Dean and Catherine Schuman
• US Patent 10,055,434

DANNA2: Dynamic Adaptive Neural Network Arrays

• August, 2018
• J. Parker Mitchell
• Masters Thesis, University of Tennessee

Software Support for Dynamic Adaptive Neural Network Arrays

• August, 2018
• Adam W. Disney
• Phd Dissertation, University of Tennessee

Four Simulators of the DANNA Neuromorphic Computing Architecture

• July, 2018
• Adam W. Disney, James S. Plank and Mark Dean
• ICONS: International Conference on Neuromorphic Systems

Towards Adaptive Spiking Label Propagation

• July, 2018
• Kathleen E. Hamilton and Catherine D. Schuman
• ICONS: International Conference on Neuromorphic Systems

A Comparison of Neuromorphic Classification Tasks

• July, 2018
• John J. M. Reynolds, James S. Plank, Catherine D. Schuman, Grant Bruer, Adam W. Disney, Mark Dean and Garrett S. Rose
• ICONS: International Conference on Neuromorphic Systems

DANNA 2: Dynamic Adaptive Neural Network Arrays

• July, 2018
• J. Parker Mitchell, Mark E. Dean, Grant Bruer, James S. Plank and Garett S. Rose
• ICONS: International Conference on Neuromorphic Systems

Understanding Selection and Diversity for Evolution of Spiking Recurrent Neural Networks

• July, 2018
• Catherine D. Shuman, Grant Bruer, Aaron R. Young, Mark Dean and James S. Plank
• IJCNN: The International Joint Conference on Neural Networks

A Mixed-Mode Neuron with On-Chip Tunability for Generic Use in Memristive Neuromorphic Systems

• July, 2018
• Sagarvarma Sayyaparaju, Ryan Weiss and Garrett S. Rose
• ISVLSI - IEEE Computer Society Annual Symposium on VLSI

Method and apparatus for constructing, using and reusing components and structures of an artifical neural network

• July, 2018
• J. Douglas Birdwell, Mark E. Dean and Catherine Schuman
• US Patent 10,019,470

Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks

• July, 2018
• Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose and Catherine D. Schuman
• IJCNN: The International Joint Conference on Neural Networks

A Novel Scan-In Scheme for CMOS/ReRAM Programmable Logic Circuits

• May, 2018
• M. Adnan and S. Amer and G. S. Rose
• IEEE International Symposium on Circuits and Systems (ISCAS)

High-Level Simulation for Spiking Neuromorphic Computing Systems

• May, 2018
• N. D. Skuda and C. D. Schuman and G. Chakma and J. S. Plank and G. S. Rose
• IEEE International Symposium on Circuits and Systems (ISCAS)

Energy and Area Efficiency in Neuromorphic Computing for Resource Constrained Devices

• May, 2018
• G. Chakma and N. D. Skuda and C. D. Schuman and J. S. Plank and M. E. Dean and G. S. Rose
• 28th ACM Great Lakes Symposium on VLSI (GLSVLSI)

Adiabatic Quantum Computation Applied to Deep Learning Networks

• May, 2018
• J. Liu and F. M. Spedalieri and K. T. Yao and T. E. Potok and C. Schuman and S. Young and R. Patton and G. S. Rose and G. Chamka
• Entropy

Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics

• March, 2018
• J. S. Najem, G. J. Taylor, R. J. Weiss, M. S. Hasan, G. Rose, C. D. Schuman, A. Belianinov, C. P. Collier and S. A. Sarles
• ACS Nano

A Bi-Memristor Synapse with Spike-Timing-Dependent Plasticity for On-Chip Learning in Memristive Neuromorphic Systems

• March, 2018
• Sagarvarma Sayyaparaju, Sherif Amer and Garrett S. Rose
• ISQED - 19th International Symposium on Quality Electronic Design

Full CMOS-Memristor Implementation of a Dynamic Neuromorphic Architecture

• March, 2018
• Nathaniel C. Cady, Karsten Beckmann, Wilkie Olin-Ammentorp, Gangotree Chakma, Sherif Amer, Ryan Weiss, Sagaryarma Sayyaparaju, Mussabir Adnan, John Murray, Mark Dean, James Plank, Garrett Rose and Joseph Van Nostrand
• 2018 GOMACTech Conference

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

• March, 2018
• Gangotree Chakma, Md Musabbir Adnan, Austin R. Wyer, Ryan Weiss, Catherine D. Schuman and Garrett S. Rose
• IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Analysis and Modeling of Electroforming in Transition Metal Oxide-based Memristors and its Impact on Crossbar Array Density

• January, 2018
• Sherif Amer, M. S. Hasan and G. S. Rose
• IEEE Electron Device Letters

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

• November, 2017
• James S. Plank, Garrett S. Rose, Mark E. Dean, Catherine D. Schuman and Nathaniel C. Cady
• IEEE International Conference on Rebooting Computing (ICRC 2017)

Method and Apparatus for Constructing a Neuroscience-Inspired Artificial Neural Network

• October, 2017
• J. Douglas Birdwell and Catherine Schuman
• US Patent 9,798,751

NeoN: Neuromorphic Control for Autonomous Robotic Navigation

• October, 2017
• J. Parker Mitchell, Grant Bruer, Mark E. Dean, James S. Plank, Garrett S. Rose and Catherine D. Schuman
• 2017 IEEE 5th International Symposium on Robotics and Intelligent Sensors

A Programming Framework for Neuromorphic Systems with Emerging Technologies

• September, 2017
• Catherine D. Schuman, James S. Plank, Garrett S. Rose, Gangotree Chakma, Austin Wyer, Grant Bruer and Nouamane Laanait
• NanoCom: 4th ACM International Conference on Nanoscale Computing and Communication

Method and Apparatus for Constructing a Neuroscience-Inspired Artificial Neural Network with Visualization of Neural Pathways

• September, 2017
• J. Douglas Birdwell, Mark E. Dean, Margaret Drouhard and Catherine Schuman
• US Patent 9,753,959

A Mixed-Signal Approach to Memristive Neuromorphic System Design

• August, 2017
• Gangotree Chakma, Sagarvarma Sayyaparaju, Ryan Weiss and Garrett Rose
• 60th IEEE International Midwest Symposium on Circuits and Systems

Design Techniques for in-Field Memristor Forming Circuits

• August, 2017
• Sherif Amer, Garrett S. Rose, Karsten Beckmann and Nathaniel C. Cady
• 60th IEEE International Midwest Symposium on Circuits and Systems

A Synchronized Axon Hillock Neuron for Memristive Neuromorphic Systems

• August, 2017
• Ryan Weiss, Gangotree Chakma and Garrett Rose
• 60th IEEE International Midwest Symposium on Circuits and Systems

Tiled DANNA: Dynamic Adaptive Neural Network Array Scaled Across Multiple Chips

• August, 2017
• Patricia Jean Eckhart
• Masters Thesis, University of Tennessee

Scalable High-Speed Communications for Neuromorphic Systems

• August, 2017
• Aaron Reed Young
• Masters Thesis, University of Tennessee

Neuromorphic computing for temporal scientific data classification

• July, 2017
• C. D. Schuman, T. E. Potok, S. Young, R. Patton, G. Perdue, G. Chakma, A. Wyer, G. S. Rose
• Neuromorphic Computing Symposium

A Practical Hafnium-Oxide Memristor Model Suitable for Circuit Design and Simulation

• May, 2017
• Sherif Amer, Sagarvarma Sayyaparaju, Karsten Beckmann, Nathaniel C. Cady and Garrett. S. Rose
• ISCAS: International Symposium on Circuits and Systems

A Survey of Neuromorphic Computing and Neural Networks in Hardware

• May, 2017
• Catherine D. Schuman, Thomas E. Potok, Robert M. Patton, J. Douglas Birdwell, Mark E. Dean, Garrett S. Rose, James S. Plank
• Published on Arxiv.

Structure-based Fitness Prediction for the Variable-structure DANNA Neuromorphic Architecture

• May, 2017
• Aleksander Klibisz, Grant Bruer, Catherine D. Schuman and James S. Plank
• IJCNN: The International Joint Conference on Neural Networks

The Effect of Biologically-Inspired Mechanisms in Spiking Neural Networks for Neuromorphic Implementation

• May, 2017
• Catherine D. Schuman
• IJCNN: The International Joint Conference on Neural Networks

Circuit Techniques for Online Learning of Memristive Synapses in CMOS-Memristor Neuromorphic Systems

• May, 2017
• Sagarvarma Sayyaparaju, Gangotree Chakma, Sherif Amer and Garrett S. Rose
• 27th ACM Great Lakes Symposium on VLSI

NeoN: A Neuromorphic Control System for Autonomous Robotic Navigation

• April, 2017
• Grant Bruer, Parker Mitchell, Trevor Sharpe, Andrew Valesky, David Young, and Mark E. Dean
• University of Tennessee ECE402/CS402 Senior Design Final Project Report

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

• March, 2017
• Thomas E. Potok, Catherine Schuman, Steven R. Young, Robert M. Patton, Federico Spedalieri, Jeremy Liu, Ke-Thia Yao, Garrett Rose, and Gangotree Chakma
• Published on Arxiv.

Applying Memristors Towards Low-Power, Dynamic Learning for Neuromorphic Applications

• March, 2017
• Wilkie Olin-Ammentorp, Karsten Beckmann, Joseph E. Van Nostrand, Garrett S. Rose, Mark E. Dean, James S. Plank, Gangotree Chakma and Nathaniel C. Cady
• 42nd Annual GOMACTech Conference

A CAD System for Exploring Neuromorphic Computing with Emerging Technologies

• March, 2017
• James S. Plank, Garrett S. Rose, Mark E. Dean and Catherine D. Schuman
• 42nd Annual GOMACTech Conference

Neuromorphic Computing: A Post-Moore's Law Complementary Architecture

• November, 2016
• Catherine D. Schuman, J. Douglas Birdwell, Mark E. Dean, James S. Plank, and Garrett S. Rose
• International Workshop on Post-Moore's Era Supercomputing (PMES)

A Hafnium-Oxide Memristive Dynamic Adaptive Neural Network Array

• November, 2016
• Gangotree Chakma, Mark E. Dean, Garrett S. Rose, Karsten Beckmann, H. Manem and Nathaniel Cady
• International Workshop on Post-Moore's Era Supercomputing (PMES)

Parallel Evolutionary Optimization for Neuromorphic Network Training

• November, 2016
• Catherine D. Schuman, Adam Disney, Susheela P. Singh, Grant Bruer, J. Parker Mitchell, Aleksander Klibisz and James S. Plank
• Machine Learning in HPC Environments, Supercomputing 2016

DANNA: A Neuromorphic Software Ecosystem

• July, 2016
• Adam Disney, John Reynolds, Catherine D. Schuman, Aleksander Klibisz, Aaron Young, and James S. Plank
• Biologically Inspired Cognitive Architectures, Volume 9.

A VLSI Design for Neuromorphic Computing

• July, 2016
• Mark E. Dean and Christopher Daffron
• IEEE Annual Symposium on VLSI (ISVLSI)

An Application Development Platform for Neuromorphic Computing

• July, 2016
• Mark E. Dean, Jason Chan, Christopher Daffron, Adam Disney, John Reynolds, Garrett S. Rose, James S. Plank, J.Douglas Birdwell, and Catherine D. Schuman
• International Joint Conference on Neural Networks, part of the IEEE World Congress on Computational Intelligence, Vancouver, Canada.

An Evolutionary Optimization Framework for Neural Networks and Neuromorphic Architectures

• July, 2016
• Catherine D. Schuman, James S. Plank, Adam Disney, and John Reynolds.
• International Joint Conference on Neural Networks, part of the IEEE World Congress on Computational Intelligence, Vancouver, Canada.

Extensions and Enhancements for the DANNA Neuromorphic Architecture

• March, 2016
• Christopher Daffron, Jason Chan, Adam Disney, Luke Bechtel, Ryan Wagner, Mark E. Dean, Garrett S. Rose, James S. Plank, J. Douglas Birdwell, and Catherine D. Schuman
• IEEE SoutheastCon, Norfolk, VA.

Implementation of a Neuromorphic Development Platform with DANNA

• December, 2015
• Jason Chan
• Masters Thesis, University of Tennessee

Dynamic Adaptive Neural Network Arrays: A Neuromorphic Architecture

• November, 2015
• Catherine D. Schuman, Adam Disney, and John Reynolds.
• Supercomputing, 2015: Machine Learning in High Performance Computing Environments Workshop.

DANNA A Neuromorphic Computing VLSI Chip

• August, 2015
• Christopher Daffron
• Masters Thesis, University of Tennessee.

Middleware and Services for Dynamic Adaptive Neural Network Arrays

• August, 2015
• Joshua Willis
• Masters Thesis, University of Tennessee.

Neuroscience Inspired Dynamic Architectures

• May, 2015
• Catherine D. Schuman
• Dissertation, University of Tennessee, 2015

Visualization Techniques for Neuroscience-Inspired Dynamic Architectures

• May, 2015
• Margaret Drouhard.
• Masters Thesis, University of Tennessee.

Visual analytics for neuroscience-inspired dynamic architectures.

• December, 2014
• Margaret Drouhard, Catherine D. Schuman, J. Douglas Birdwell, and Mark E. Dean.
• FOCI: IEEE Symposium on Foundations of Computational Intelligence

Spatiotemporal Classification using Neuroscience-Inspired Dynamic Architectures

• November, 2014
• Catherine D. Schuman, J. Douglas Birdwell, and Mark E. Dean.
• Procedia Computer Science, Elsevier, Volume 41.

Dynamic Adaptive Neural Network Array

• July, 2014
• Mark E. Dean, Catherine D. Schuman, and J. Douglas Birdwell.
• 13th International Conference on Unconventional Computation and Natural Computation (UCNC).

Neuroscience-Inspired Dynamic Architectures

• April, 2014
• Catherine D. Schuman, J. Douglas Birdwell, Mark E. Dean
• Annual Biomedical Science and Engineering Center Conference (BSEC), Oak Ridge National Laboratory.

Dynamic Artificial Neural Networks with Affective Systems

• November, 2013
• Catherine D. Schuman and J. Douglas Birdwell
• PLOS ONE, Volume 8 (11).

Variable-Structure Dynamic Artificial Neural Networks

• June, 2013
• Catherine D. Schuman and J. Douglas Birdwell
• Biologically Inspired Cognitive Architectures, Volume 6.

Exploration of Neural Structures for Dynamic System Control

• December, 2012
• Scott Frederick Hansen
• Masters Thesis, University of Tennessee.