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)
Quick Links
Recent News
- Our Group's Presence at ICRC (Virtual Conference, December, 2020)
- Katie Schuman gives a MIT Technology Review Talk on Brain-Inspired Computing
- 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)
All News
Publications
Recent Publications
- Method and Apparatus for Constructing a Neuroscience-Inspired Artificial Neural Network with Visualization of Neural Pathways: US Patent 10,929,745 February, 2021.
- Stochasticity and robustness in spiking neural networks: Neurocomputing, Volume 419, January, 2021. January, 2021.
- Reducing the Size of Spiking Convolutional Neural Networks by Trading Time for Space: IEEE International Conference on Rebooting Computing (ICRC 2020) December, 2020.
- Modeling epidemic spread with spike-based models: ICONS: International Conference on Neuromorphic Systems July, 2020.
- Spike-based graph centrality measures: ICONS: International Conference on Neuromorphic Systems July, 2020.
All Publications
Team
Dr. Nathaniel Cady
Dr. Md Sakib Hasan
Dr. Roger Horn
Dr. Shruti Kulkarni
Parker Mitchell
Dr. Maryam Parsa
Dr. Andy Sarles
Dr. Mst Shamim Ara Shawkat
Musabbir Adnan
Nishith Chakraborty
Rocco Febbo
John Murray
Manu Rathore
Charlie Rizzo
Ben Sergent
Nick Skuda
Ryan Weiss
John Carmack
Arden Davis
Zach DeGuira
Tanner Fowler
Katherine Huckabay
Mark Lee
Casey Mackinnon
Ankush Patel
Alex Twilla
ChaoHui Zheng
Samantha Zimmerman