References
Thakur C S, Molin J L, Cauwenberghs G, Indiveri G, Kumar K, Qiao N, Schemmel J, Wang R C, Chicca E, Hasler J O, Seo J S, YU S M, CCAO Y, Van Schaik A, Etienne-Cummings R. Large-scale neuromorphic spiking array processors: A quest to mimic the brain. Frontiers in Neuroscience, 2018, 12: 891. DOI: 10.3389/fnins.2018.00891.
Peres L, Rhodes O. Parallelization of neural processing on neuromorphic hardware. Frontiers in Neuroscience, 2022, 16: 867027. DOI: 10.3389/fnins.2022.867027.
Zhang Y H, Qu P, Ji Y, Zhang W H, Gao G R, Wang G R, Song S, Li G Q, Chen W G, Zheng W M, Chen F, Pei J, Zhao R, Zhao M G, Shi L P. A system hierarchy for brain-inspired computing. Nature, 2020, 586(7829): 389–384. DOI: 10.1038/s41586-020-2782-y.
Zhao R, Yang Z Y, Zheng H, Wu Y J, Liu F Q, Wu Z Z, Li L K, Chen F, Song S, Zhu J, Zhang W L, Huang H Y, Xu M K, Sheng K F, Yin Q B, Pei J, Li G Q, Zhang Y H, Zhao M G, Shi L P. A framework for the general design and computation of hybrid neural networks. Nature Communications, 2022, 13: 3427. DOI: 10.1038/s41467-022- 30964-7.
Eshraghian J K, Ward M, Neftci E O, Wang X X, Lenz G, Dwivedi G, Bennamounm, Jeong D S, Lu W D. Training spiking neural networks using lessons from deep learning. Proceedings of the IEEE, 2023, 111(9): 1016–1054. DOI: 10.1109/JPROC.2023.3308088.
Davison A P, Brüderle D, Eppler J, Kremkow J, Muller E, Pecevski D, Perrinet L, Yger P. PyNN: A common interface for neuronal network simulators. Frontiers in Neuroinformatics, 2009, 2: 11. DOI: 10.3389/neuro.11.011.2008.
Ma S C, Pei J, Zhang W H, Wang G R, Feng D H, Yu F W, Song C H, Qu H Y, Ma C, Lu M S, Liu F Q, Zhou W H, Wu Y J, Lin Y H, Wang T Y, Song J R, Liu X, Li G Q, Zhao R, Shi L P. Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots. Science Robotics, 2022, 7(67): eabk2948. DOI: 10.1126/scirobotics.abk2948.