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Seminar✓ Recording AvailableNeuroscience

Norse: A library for gradient-based learning in Spiking Neural Networks

Catherine Schuman

Dr

Oak Ridge National Laboratory

Schedule
Wednesday, November 3, 2021

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Schedule

Wednesday, November 3, 2021

4:30 PM Europe/Berlin

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Host: SNUFA

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Recording provided by the organiser.

Event Information

Domain

Neuroscience

Original Event

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Host

SNUFA

Duration

70 minutes

Abstract

Norse aims to exploit the advantages of bio-inspired neural components, which are sparse and event-driven - a fundamental difference from artificial neural networks. Norse expands PyTorch with primitives for bio-inspired neural components, bringing you two advantages: a modern and proven infrastructure based on PyTorch and deep learning-compatible spiking neural network components.

Topics

PyTorchSpiking Neural Networksbio-inspiredbio-inspired neural componentsdeep learningevent-drivengradient-based learningneural network infrastructurenorseprimitivessparse

About the Speaker

Catherine Schuman

Dr

Oak Ridge National Laboratory

Contact & Resources

Personal Website

scholar.google.com/citations

@cdschuman

Follow on Twitter/X

twitter.com/cdschuman

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