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ZENODO
Software . 2021
License: https://www.gnu.org/licenses/lgpl-3.0-standalone.html
Data sources: Datacite
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Software . 2021
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Norse - A deep learning library for spiking neural networks

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 06 Jan 2021Publisher:ZenodoFunded by:EC | HBP SGA2
Authors: Pehle, Christian-Gernot; Pedersen, Jens Egholm;

doi: 10.5281/zenodo.4422025 , 10.5281/zenodo.4422024

Norse - A deep learning library for spiking neural networks

Abstract

Norse is a library that 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.

Documentation: https://norse.ai/docs/

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Keywords

neuroscience, machine learning, deep learning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
19
Top 10%
Top 10%
Top 10%
111
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