Draft talk:BrainScaleS

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Neuroscience

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Engineering

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Refference

Aamir, S. A., Grübl, A., Müller, P., Petrovici, M. A., Wunderlich, T., Heimbrecht, A., ... & Schemmel, J. (2020). Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System. *arXiv preprint arXiv:2006.11111*. https://www.researchgate.net/publication/342818917_Verification_and_Design_Methods_for_the_BrainScaleS_Neuromorphic_Hardware_System

Meier, K. (2014). The BrainScaleS wafer module structure [Diagram]. *ResearchGate*. https://www.researchgate.net/figure/The-BrainScaleS-wafer-module-structure-Diagram-courtesy-of-Karlheinz-Meier-Heidelberg_fig6_306248734

Schemmel, J., Aamir, S. A., Grübl, A., Pehle, C., Müller, P., & Petrovici, M. A. (2022). Accelerated analog neuromorphic computing using BrainScaleS. *Frontiers in Neuroscience, 16*, 795876. https://doi.org/10.3389/fnins.2022.795876

Human Brain Project. (2023). Learning from the brain to make AI more energy efficient. *Human Brain Project News*. https://www.humanbrainproject.eu/en/follow-hbp/news/2023/09/04/learning-brain-make-ai-more-energy-efficient/

Meier, K., & HBP SP9 Consortium. (2020). Neuromorphic Platform Specification (D9.7.1) [Public version]. *Human Brain Project*. https://flagship.kip.uni-heidelberg.de/jss/FileExchange/D9.7.1_Neuromorphic_Platform_Specification_-_public_version.pdf?fID=1887&s=qqdXDg6HuX3&uID=65

Human Brain Project. (n.d.). PM hardware configuration. *HBP-SP9 Guidebook*. https://electronicvisions.github.io/hbp-sp9-guidebook/pm/pm_hardware_configuration.html

Human Brain Project. (n.d.). Neuromorphic computing hardware. *Human Brain Project*. https://www.humanbrainproject.eu/en/science-development/focus-areas/neuromorphic-computing/hardware/

Schemmel, J., & Meier, K. (2021). Neuromorphic hardware and accelerated brain simulations. In M. Lebedev, A. Ossadtchi, & M. Blank (Eds.), *Neurotechnologies for human augmentation* (pp. 227-239). Springer. https://link.springer.com/chapter/10.1007/978-3-030-66770-2_14

EBRAINS. (n.d.). BrainScaleS wiki. *EBRAINS Neuromorphic Computing Platform*. https://wiki.ebrains.eu/bin/view/Collabs/neuromorphic/BrainScaleS/

Petrovici, M. A., Bill, J., Schemmel, J., & Meier, K. (2021). On-chip learning for spiking neuromorphic hardware. *Journal of Signal Processing Systems, 93*, 169-183. https://doi.org/10.1007/s11265-020-01558-7 171.7.137.114 (talk) 15:40, 9 November 2024 (UTC)[reply]