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 GOMAC in Miami (March, 2018)
- The Knoxville News-Sentinel publishes a story featuring Parker, Grant and Neon
- IEEE JETCAS article gets recognition from HPCwire
- The Survey Paper Gets Some Love from Rebooting Computing
- Our Group's Presence at ICRC in Washington, DC (November, 2017)
- Applying Memristors Towards Low-Power, Dynamic Learning for Neuromorphic Applications: 2018 GOMACTech Conference March, 2018.
- Analysis and Modeling of Electroforming in Transition Metal Oxide-based Memristors and its Impact on Crossbar Array Density: IEEE Electron Device Letters, To Appear January, 2018.
- Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level: IEEE Journal on Emerging and Selected Topics in Circuits and Systems November, 2017.
- A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications: IEEE International Conference on Rebooting Computing (ICRC 2017) November, 2017.
- Method and Apparatus for Constructing a Neuroscience-Inspired Artificial Neural Network: US Patent 9,798,741 October, 2017.