TENNLab - Neuromorphic Architectures, Learning, Applications
We are a group of faculty, post-docs, graduate students and undergraduates researching a new paradigm of computing, inspired by the human brain. Our research encompasses nearly every facet of the area, including current and emergent hardware implementations, theoretical models, programming techniques and applications. (Read More)
Recent News
- Our NIST Colleagues Have a Feature in Techxplore, Mentioning TENNLab as Enabling Technology
- TENNLab Presence at NICE and GOMAC (March, 2019)
- TENNLab Presence at ICONS in Knoxville (July, 2018)
- Department of Energy Article on Katie Schuman
- HDIAC Video on Neural Networks for Homeland Defense & Security features our group
All News
Publications
Recent Publications
- A Review of Spiking Neuromorphic Hardware Communication Systems: IEEE Access September, 2019.
- Non-Traditional Input Encoding Schemes for Spiking Neuromorphic Systems: IJCNN: The International Joint Conference on Neural Networks July, 2019.
- Intelligent Reservoir Generation for Liquid State Machines using Evolutionary Optimization: IJCNN: The International Joint Conference on Neural Networks July, 2019.
- Adapting Spiking Networks to Neuromorphic Hardware Subject to Process Variability: 44th Annual GOMACTech Conference March, 2019.
- Spike-based primitives for graph algorithms: Published on arXiv. March, 2019.
All Publications
Team
Dr. Nathaniel Cady
Dr. Md Sakib Hasan
Dr. Roger Horn
Parker Mitchell
Dr. Andy Sarles
Musabbir Adnan
Jonathan Ambrose
Sherif Amer
Sam Brown
Gangotree Chakma
Brent Hurst
John Murray
Maryam Parsa
Michael Peek
John Reynolds
Charlie Rizzo
Sagarvarma Sayyaparaju
Nick Skuda
Ryan Weiss
Kody Bloodworth
Ankush Patel
Syd Shelby
Alec Yen
Samantha Zimmerman