Event-Based Backpropagation for Exact Gradients in Spiking Neural Networks

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  • notebooks

    Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks. (by norse)

  • We've written some documentation around our neuron equations in Python that explains this: https://norse.github.io/norse/auto_api/norse.torch.functiona...

    See also our tutorial on neuron parameter optimization to understand how it's useful for machine learning: https://github.com/norse/notebooks#level-intermediate

    Disclaimer: I'm a co-author of the library Norse

    Regarding the target audience, it's actually not entirely clear to me. This lies in the intersection between computational neuroscience and deep learning. Which isn't a huge set of people. Meaning, you're questions are valid and we (as researchers) have a lot of communication to do to explain why this is interesting and important.

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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