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A scalable implementation of the recursive least-squares algorithm for training spiking neural networks.

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Title: A scalable implementation of the recursive least-squares algorithm for training spiking neural networks.
Authors: Arthur, Benjamin J.1, arthurb@janelia.hhmi.org, Kim, Christopher M.1,2, Susu Chen1, Preibisch, Stephan1, Darshan, Ran1
Source: Frontiers in Neuroinformatics; 2023, p1-8, 8p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 164973731
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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      – Type: doi
        Value: 10.3389/fninf.2023.1099510
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      – Code: eng
        Text: English
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        PageCount: 8
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            NameFull: Kim, Christopher M.
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            NameFull: Susu Chen
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              Text: 2023
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              Y: 2023
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