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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Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data]
Sep 28, 2023
Kaiser, Jakob; Stock, Raphael; Müller, Eric; Schemmel, Johannes; Schmitt, Sebastian, 2023, "Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data]", https://doi.org/10.11588/data/AVFF2E, heiDATA, V1
This data is presented in the paper "Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware".
Parametrizing Analog Multi-Compartment Neurons with Genetic Algorithms [Data]
Apr 18, 2023
Stock, Raphael; Kaiser, Jakob; Müller, Eric; Schemmel, Johannes; Schmitt, Sebastian, 2023, "Parametrizing Analog Multi-Compartment Neurons with Genetic Algorithms [Data]", https://doi.org/10.11588/data/U2U1IB, heiDATA, V1
This data is presented in the paper: "Parametrizing Analog Multi-Compartment Neurons with Genetic Algorithms" which is currently under review. Further information about the contents of the files can be found in the `README.md`. Abstract: This paper employs genetic algorithms to p...
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