D. Auge, J. Hille, E. Mueller, and A. Knoll, "A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks," Neural Processing Letters, vol. 53, no. 6, pp. 4693–4710, Dec. 2021. doi: 10.1007/s11063-021-10562-2.
E. Mueller, V. Studenyak, D. Auge, and A. Knoll, "Spiking Transformer Networks: A Rate Coded Approach for Processing Sequential Data," in Proc. 2021 7th International Conference on Systems and Informatics (ICSAI), 2021, pp. 1–5. doi: 10.1109/ICSAI53574.2021.9664146.
E. Mueller, D. Auge, S. Klimaschka, and A. Knoll, "Neural oscillations for energy-efficient hardware implementation of sparsely activated deep spiking neural networks," in Proc. AAAI Conf. Artif. Intell. (AAAI), 2022.
E. Mueller, D. Auge, and A. Knoll, "Exploiting inhomogeneities of subthreshold transistors as populations of spiking neurons," in Proc. Int. Conf. Natural Comput., Fuzzy Syst. Knowl. Discovery (ICNC-FSKD), Lecture Notes on Data Engineering and Communications Technologies, vol. 153. Cham, Switzerland: Springer, 2022, pp. 483–492, doi: 10.1007/978-3-031-20738-9_55.
E. Mueller, J. Hansjakob, D. Auge, and A. Knoll, "Minimizing Inference Time: Optimization Methods for Converted Deep Spiking Neural Networks," in Proc. 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1–8. doi: 10.1109/IJCNN52387.2021.9533874.
Spiking Neural Networks
Neuromorphic Computing
Energy-Efficient AI Hardware
Deep Learning
Edge & Embedded AI
[1] D. Auge, J. Hille, E. Mueller, and A. Knoll, "A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks," Neural Processing Letters, vol. 53, no. 6, pp. 4693–4710, Dec. 2021. doi: 10.1007/s11063-021-10562-2.
[2] E. Mueller, V. Studenyak, D. Auge, and A. Knoll, "Spiking Transformer Networks: A Rate Coded Approach for Processing Sequential Data," in Proc. 2021 7th International Conference on Systems and Informatics (ICSAI), 2021, pp. 1–5. doi: 10.1109/ICSAI53574.2021.9664146.
[3] D. Auge, J. Hille, F. Kreutz, E. Mueller, and A. Knoll, "End-to-End Spiking Neural Network for Speech Recognition Using Resonating Input Neurons," in Artificial Neural Networks and Machine Learning (ICANN 2021), Lecture Notes in Computer Science, vol. 12895. Cham, Switzerland: Springer, 2021, pp. 245–256. doi: 10.1007/978-3-030-86383-8_20.
[4] D. Auge, J. Hille, E. Mueller, and A. Knoll, "Hand Gesture Recognition in Range-Doppler Images Using Binary Activated Spiking Neural Networks," in Proc. 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), 2021, pp. 1–7. doi: 10.1109/FG52635.2021.9666988.
[5] E. Mueller, J. Hansjakob, D. Auge, and A. Knoll, "Minimizing Inference Time: Optimization Methods for Converted Deep Spiking Neural Networks," in Proc. 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1–8. doi: 10.1109/IJCNN52387.2021.9533874.
