Electronic Vision(s) is a world-leading research group in the field of analog electronic spiking processors. With BrainScaleS, they have demonstrated the world's first wafer-scale realization of an analog neural network. The current BrainScaleS architecture enables research in the neuroscientific domain as well as applications from the machine learning domain. Besides the neuromorphic core, their expertise spans the entire range of system hardware development and software integration up to SNN accelerators.
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paper_sbi.tar.gz
Sep 28, 2023 - Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data]
Gzip Archive - 692.1 MB - MD5: bdd0978e64a71c269c5d56721e70c159
README.md
Sep 28, 2023 - Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data]
Markdown Text - 5.7 KB - MD5: 9cbc83ba64fc9d8b796749dca2df84d2
Documentation
data.zip
Apr 18, 2023 - Parametrizing Analog Multi-Compartment Neurons with Genetic Algorithms [Data]
ZIP Archive - 7.2 MB - MD5: da8864df5e0364a087f3dc4ee6c4d3e2
README.md
Apr 18, 2023 - Parametrizing Analog Multi-Compartment Neurons with Genetic Algorithms [Data]
Markdown Text - 2.1 KB - MD5: e76cd454ae17e11e5ef9ce79ce7f1118
Documentation
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