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)
- 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)
- mrDANNA / DANNA Tape-Out Complete!
- Weiss and Chakma receive 3rd place in the Midwest Symposium on Circuits and Systems
- 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.
- NeoN: Neuromorphic Control for Autonomous Robotic Navigation: 2017 IEEE 5th International Symposium on Robotics and Intelligent Sensors October, 2017.
- A Programming Framework for Neuromorphic Systems with Emerging Technologies: NanoCom: 4th ACM International Conference on Nanoscale Computing and Communication September, 2017.