A heuristic approach to the hyperparameters in training spiking neural networks using spike-timing-dependent plasticity

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1433-3058

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: A heuristic approach to the hyperparameters in training spiking neural networks using spike-timing-dependent plasticity ; day:16 ; month:12 ; year:2021 ; pages:1-14
Neural computing & applications ; (16.12.2021), 1-14

Creator: Połap, Dawid
Woźniak, Marcin
Hołubowski, Waldemar
Damaševičius, Robertas

Contributor: SpringerLink (Online service)

DOI: 10.1007/s00521-021-06824-8

URN: urn:nbn:de:101:1-2022041220542703055759

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:33 AM CEST

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Połap, Dawid
Woźniak, Marcin
Hołubowski, Waldemar
Damaševičius, Robertas
SpringerLink (Online service)

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A heuristic approach to the hyperparameters in training spiking neural networks using spike-timing-dependent plasticity

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Other Objects (12)

Formation and stability of spiking cell assemblies with spike-timing-dependent synaptic plasticity

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Modeling spike timing dependent plasticity with a retrograde transmitter

Temporal associative memory (TAM) by spike-timing dependent plasticity

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Synaptic symmetry breaking by spike timing dependent synaptic plasticity

Formation and stability of spiking cell assemblies with spike-timing-dependent synaptic plasticity

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Modeling spike timing dependent plasticity with a retrograde transmitter

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Synaptic symmetry breaking by spike timing dependent synaptic plasticity

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