Publications
actual, 2022:
| [1] | E. Müller, S. Schmitt, C. Mauch, S. Billaudelle, A. Grübl, M. Güttler, D. Husmann, J. Ilmberger, S. Jeltsch, J. Kaiser, J. Klähn, M. Kleider, C. Koke, J. Montes, P. Müller, J. Partzsch, F. Passenberg, H. Schmidt, B. Vogginger, J. Weidner, C. Mayr and J. Schemmel. The Operating System of the Neuromorphic BrainScaleS-1 System. Neurocomputing, 2022 |
| [2] | F. Schuffny, S. Hanzsche, M. Berthel, S. Zeinolabedin, S. Scholze, S. Hoppner, R. George and C. Mayr. A Single Battery Supply Power Concept for a Neuro Recording and Flexible Processing Chain in 22 nm. In IEEE Nordic Circuits and Systems Conference (NorCAS), 2022. |
| [3] | H.A. Gonzalez, C. Liu, B. Vogginger, M. Lohrmann, S. Höppner and C. Mayr. Cognitive Radar for Velocity Disambiguation. DE Patent App. DE102022121301.3, 2022 |
| [4] | H.A. Gonzalez, C. Liu, B. Vogginger, S. Höppner and C. Mayr. Cognitive FMCW Radar to Enhance Velocity Disambiguation in MIMO Systems. 2022 International Radar Conference (IET), 2022 |
| [5] | J. Huang, B. Vogginger, P. Gerhards, F. Kreutz, F. Kelber, D. Scholz, K. Knobloch and C. Mayr. Real-time Radar Gesture Classification with Spiking Neural Network on SpiNNaker 2 Prototype. In IEEE AICAS, pages 4, 2022. |
| [6] | J. Huang, B. Vogginger, P. Gerhards, F. Kreutz, F. Kelber, D. Scholz, K. Knobloch and C. Mayr. Spiking Neural Network based Real-time Radar Gesture Recognition Live Demonstration. In IEEE AICAS, pages 1, 2022. |
| [7] | J. Lopez-Randulfe, N. Reeb, N. Karimi, C. Liu, H.A. Gonzalez, R. Dietrich, B. Vogginger, C. Mayr and A. Knoll. Time-coded Spiking Fourier Transform in Neuromorphic Hardware. IEEE Transactions on Computers, 2022. |
| [8] | M. Jobst, J. Partzsch, C. Liu, L. Guo, D. Walter, S. Rehman, S. Scholze, S. Höppner and C. Mayr. ZEN: A flexible energy-efficient hardware classifier exploiting temporal sparsity in ECG data. In IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), pages 4, 2022 |
| [9] | A. Rostami, B. Vogginger, Y. Yan and C.G. Mayr. E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardware. Frontiers in Neuroscience, 16, 2022. |
| [10] | A. Rostami, B. Vogginger, Y. Yan and C.G. Mayr. E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardware. Frontiers in Neuroscience, 16, 2022. |
| [11] | S.F. Qureshi, H.A. Gonzalez, C. Liu, B. Vogginger, M. Stolba, S. Scholze, S. Höppner and C. Mayr. Efficient DBSCAN Implementation in a Multi-core DSP for FMCW Radars. 2022 IEEE Radar Conference (RadarConf), 2022 |
| [12] | S.M.A. Zeinolabedin, F.M. Schuffny, R. George, F. Kelber, H. Bauer, S. Scholze, S. Hanzsche, M. Stolba, A. Dixius, G. Ellguth, D. Walter, S. Hoeppner and C. Mayr. A 16-Channel Fully Configurable Neural SoC with 1.52μW⁄Ch Signal Acquisition, 2.79μW⁄Ch Real-time Spike Classifier, and 1.79 TOPS⁄W Deep Neural Network Accelerator in 22nm FDSOI. IEEE Transactions on Biomedical Circuits and Systems, 2022 |
| [13] | F. Schüffny, S. Höppner, S. Zeinolabedin, R. George and C. Mayr. How to design an input stage for neural recording system in 22 nm FDSOI. IEEE 2022 17th Conference on Ph.D Research in Microelectronics and Electronics (PRIME), 2022 |
| [14] | F. Schüffny, S. Zeinolabedin, R. George, L. Guo, A. Weiße, J. Uhlig, J. Meyer, A. Dixius, S. Hänzsche, M. Berthel, S. Scholze, S. Höppner and C. Mayr. A 64-channel back-gate adapted ultra-low-voltage spike-aware neural recording front-end with on-chip lossless⁄near-lossless compression engine and 3.3V stimulator in 22nm FDSOI. 2022 IEEE Asian Solid-State Circuits Conference (A-SSCC), 2022 |
| [15] | S. Guo, L. Guo, S.M.A. Zeinolabedin and C. Mayr. Various Distance Metrics Evaluation on Neural Spike Classification. In IEEE Biomedical Circuits and Systems Conference (BIOCAS), 2022 |
| [16] | B. Vogginger, F. Kelber, S. Sampath, J. Partzsch and C. Mayr. Performance models and energy-optimal mapping of DNNs on many-core hardware with dynamic power management. In CODAI 2022 Workshop: Workshop on Compilers, Deployment, and Tooling for Edge AI, 2022 |
| [17] | B. Vogginger, F. Kreutz, J. López-Randulfe, C. Liu, R. Dietrich, H.A. Gonzalez, D. Scholz, N. Reeb, D. Auge, J. Hille, M. Arsalan, F. Mirus, C. Grassmann, A. Knoll and C. Mayr. Automotive Radar Processing With Spiking Neural Networks: Concepts and Challenges. Frontiers in Neuroscience, 16, 2022. |