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)
Thanks to UT Undergraduate Arden Davis for making this video!
- Jim Plank gives an Invited Talk at the Intel Neuromorphic Research Community Seminar Series
- Katie Schuman gives an Invited Talk at SC20 on Post Von Neumann Architectures
- 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
- An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment: Published on arXiv. September, 2021.
- Spiking Neuromorphic Networks for Binary Tasks: ICONS: International Conference on Neuromorphic Systems July, 2021.
- A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems: IJCNN: The International Joint Conference on Neural Networks July, 2021.
- A Multi-Context Neural Core Design for Reconfigurable Neuromorphic Arrays: IEEE Computer Society Annual Symposium on VLSI (ISVLSI) July, 2021.
- Scaling Constraints for Memristor-based Programmable Interconnect in Reconfigurable Computing Arrays: IEEE Computer Society Annual Symposium on VLSI (ISVLSI) July, 2021.