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)
- 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)
- 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.