The following publications are possibly variants of this publication:
- Modelling and Training Printed Neuromorphic CircuitsMichael Hefenbrock. PhD thesis, Karlsruhe University, Germany, 2022. [doi]
- Aging-Aware Training for Printed Neuromorphic CircuitsHaibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori. iccad 2022: [doi]
- Highly-Bespoke Robust Printed Neuromorphic CircuitsHaibin Zhao, Brojogopal Sapui, Michael Hefenbrock, Zhidong Yang, Michael Beigl, Mehdi B. Tahoori. date 2023: 1-6 [doi]
- Programmable Neuromorphic Circuit based on Printed Electrolyte-Gated TransistorsDennis D. Weller, Michael Hefenbrock, Mehdi Baradaran Tahoori, Jasmin Aghassi-Hagmann, Michael Beigl. aspdac 2020: 446-451 [doi]
- Towards Temporal Information Processing - Printed Neuromorphic Circuits with Learnable FiltersHaibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi Baradaran Tahoori. NANOARCH 2023: [doi]
- Power-Aware Training for Energy-Efficient Printed Neuromorphic CircuitsHaibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori. iccad 2023: 1-9 [doi]