Synaptic sampling: a Bayesian approach to neural network plasticity and rewiring

Research article (neural information processing systems, 2015) · cited 11× · AI/ML
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Synaptic sampling: a Bayesian approach to neural network plasticity and rewiring

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Synaptic sampling: a Bayesian approach to neural network plasticity and rewiring is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Synaptic sampling: a Bayesian approach to neural network plasticity and rewiring. Retrieved May 24, 2026, from https://4ort.xyz/entity/synaptic-sampling-a-bayesian-approach-to-neural-network-plasticity-and-rewiring
MLA “Synaptic sampling: a Bayesian approach to neural network plasticity and rewiring.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/synaptic-sampling-a-bayesian-approach-to-neural-network-plasticity-and-rewiring.
BibTeX @misc{4ortxyz_synaptic-sampling-a-bayesian-approach-to-neural-network-plasticity-and-rewiring_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Synaptic sampling: a Bayesian approach to neural network plasticity and rewiring}}, year = {2026}, url = {https://4ort.xyz/entity/synaptic-sampling-a-bayesian-approach-to-neural-network-plasticity-and-rewiring}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Synaptic sampling: a Bayesian approach to neural network plasticity and rewiring — https://4ort.xyz/entity/synaptic-sampling-a-bayesian-approach-to-neural-network-plasticity-and-rewiring (retrieved 2026-05-24)

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