publications

2025

• NLU: An Adaptive, Small-Footprint, Low-Power Neural Learning Unit for Edge and IoT ApplicationsRostami, A., Zeinolabedin, S. M. A., Guo, L., Kelber, F., Bauer, H., Dixius, A., Scholze, S. & 5 others, 26 Feb 2025, In: IEEE Open Journal of Circuits and SystemsElectronic (full-text) versionResearch output: Contribution to journal > Research article
• The neurobench framework for benchmarking neuromorphic computing algorithms and systemsYik, J., Van den Berghe, K., den Blanken, D., Bouhadjar, Y., Fabre, M., Hueber, P., Ke, W. & 43 others, 11 Feb 2025, In: Nature communications. 16, 1, 1545Electronic (full-text) versionResearch output: Contribution to journal > Review article
• Neuromorphic computing at scaleKudithipudi, D., Schuman, C., Vineyard, C. M., Pandit, T., Merkel, C., Kubendran, R., Aimone, J. B. & 16 others, 23 Jan 2025, In: Nature. 637, 8047, p. 801-812, 12 p., 4910Electronic (full-text) versionResearch output: Contribution to journal > Review article

2024

• Inkjet‐Printed 3D Electrode Arrays for Recording Signals from Cortical OrganoidsKopic, I., Dedousi, P., Schmidt, S., Peng, H., Berezin, O., Weiße, A., George, R. M. & 3 others, 19 Nov 2024, In: Advanced Materials Technologies. 9, 22, 2400645Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Impact of Sliding Window Variation and Neuronal Time Constants on Acoustic Anomaly Detection Using Recurrent Spiking Neural Networks in Automotive Environment †.Kshirasagar, S., Guntoro, A. & Mayr, C., 1 Oct 2024, In: Algorithms. 17, 10, p. 440-453, 14 p., 440Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computingPedersen, J. E., Abreu, S., Jobst, M., Lenz, G., Fra, V., Christian Bauer, F., Richard Muir, D. & 8 others, 16 Sep 2024, In: Nature Communications. 15, 8122Electronic (full-text) versionResearch output: Contribution to journal > Research article
• CA-CFAR is Convolution: Fast Target Detection with Machine Learning AcceleratorLiu, C., Kelber, F., Vogginger, B. & Mayr, C., 14 Jun 2024, 2024 13th Mediterranean Conference on Embedded Computing (MECO). IEEE, p. 1-6, 6 p., 10577789Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• A Low-footprint FFT Accelerator for a RISC-V-based Multi-core DSP in FMCW RadarsGonzalez, H. A., Stolba, M., Vogginger, B., Rosmeisl, T., Liu, C. & Mayr, C., 22 May 2024, 2024 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, p. 1-5, 5 p., 10558386Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Auditory Anomaly Detection using Recurrent Spiking Neural NetworksKshirasagar, S., Cramer, B., Guntoro, A. & Mayr, C., 25 Apr 2024, 2024 IEEE 6th International Conference on AI Circuits and Systems, AICAS 2024 - Proceedings. IEEE, p. 278-281, 4 p., 10595878Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Language Modeling on a SpiNNaker2 Neuromorphic ChipNazeer, K. K., Schöne, M., Mukherji, R., Vogginger, B., Mayr, C., Kappel, D. & Subramoney, A., 25 Apr 2024, 2024 IEEE 6th International Conference on AI Circuits and Systems, AICAS 2024 - Proceedings. IEEE, p. 492-496, 5 p., 10595870Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution