Research Publications

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)

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

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

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

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 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

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 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

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

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)

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.