| Trade‐off between data retention and switching speed in resistive switching ReRAM devices S Siegel, C Baeumer, A Gutsche, M von Witzleben, R Waser, S Menzel, ... Advanced electronic materials 7 (1), 2000815, 2021 | 36 | 2021 |
| Exploring Area-Dependent Pr0.7Ca0.3MnO3-Based Memristive Devices as Synapses in Spiking and Artificial Neural Networks A Gutsche, S Siegel, J Zhang, S Hambsch, R Dittmann Frontiers in neuroscience 15, 661261, 2021 | 18 | 2021 |
| Sequence learning in a spiking neuronal network with memristive synapses Y Bouhadjar, S Siegel, T Tetzlaff, M Diesmann, R Waser, DJ Wouters Neuromorphic Computing and Engineering 3 (3), 034014, 2023 | 6 | 2023 |
| Demonstration of neuromorphic sequence learning on a memristive array S Siegel, T Ziegler, Y Bouhadjar, T Tetzlaff, R Waser, R Dittmann, ... Proceedings of the 2023 Annual Neuro-Inspired Computational Elements …, 2023 | 5 | 2023 |
| Synaptic and neuromorphic functions: general discussion AI Berg, S Brivio, S Brown, G Burr, S Deswal, J Deuermeier, E Gale, ... Faraday Discussions 213, 553-578, 2019 | 5 | 2019 |
| System model of neuromorphic sequence learning on a memristive crossbar array S Siegel, Y Bouhadjar, T Tetzlaff, R Waser, R Dittmann, DJ Wouters Neuromorphic Computing and Engineering 3 (2), 024002, 2023 | 4 | 2023 |
| Work-in-Progress: A Universal Instrumentation Platform for Non-Volatile Memories F Staudigl, M Hossein, T Ziegler, H Al Indari, R Pelke, S Siegel, ... Proceedings of the 2023 International Conference on Hardware/Software …, 2023 | 2 | 2023 |
| Resolving the Relaxation of Volatile Valence Change Memory J Hellwig, C Funck, S Siegel, A Sarantopoulos, D Spithouris, S Menzel, ... Advanced Electronic Materials 10 (12), 2400062, 2024 | 1 | 2024 |
| Synaptogen: A cross-domain generative device model for large-scale neuromorphic circuit design T Hennen, L Brackmann, T Ziegler, S Siegel, S Menzel, R Waser, ... IEEE Transactions on Electron Devices, 2024 | 1 | 2024 |
| The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming Z Yu, MJ Yang, J Finkbeiner, S Siegel, JP Strachan, E Neftci 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS …, 2024 | 1 | 2024 |
| IMSSA: Deploying modern state-space models on memristive in-memory compute hardware S Siegel, MJ Yang, JP Strachan arXiv preprint arXiv:2412.20215, 2024 | | 2024 |
| Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models N Leroux, PP Manea, C Sudarshan, J Finkbeiner, S Siegel, JP Strachan, ... arXiv preprint arXiv:2409.19315, 2024 | | 2024 |
| Learning rules for CMOS-memristive co-integrated neuromorphic hardware S Siegel, R Dittmann, E Neftci Lehr-und Forschungsgebiet Technologie der Oxidelektronik (FZ Jülich), 2024 | | 2024 |
| Bio-inspired sequence learning mechanisms and their implementation in a memristive neuromorphic hardware Y Bouhadjar, S Siegel, M Diesmann, R Waser, E Neftci, DJ Wouters, ... Neuromorphic, Natural and Physical Computing, 2023 | | 2023 |
| (Invited) Impact of Stoichiometry and Interface Configuration on the Time Stability and the Speed-Limiting Step in Memristive SrTiO3 Cells R Dittmann, C Bäumer, S Siegel, FVE Hensling, T Heisig, A Gutsche, ... Electrochemical Society Meeting Abstracts 236, 1225-1225, 2019 | | 2019 |
| Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks F Zenke, S Siegel, T Younes Bouhadjar, Y Kim, J Chough, P Panda | | |
| Demonstration of neuromorphic sequence learning on a memristive S Siegel, T Ziegler, Y Bouhadjar, T Tetzlaff, R Waser, R Dittmann, ... | | |
