Research Publications

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

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

Spike-based primitives for graph algorithms

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

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

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

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)

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

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 9,798,741

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.

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

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

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.

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

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

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)

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

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)

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.

Visualization Techniques for Neuroscience-Inspired Dynamic Architectures

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

Neuroscience Inspired Dynamic Architectures

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

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.