Temporal alignment and latent Gaussian process factor inference in population spike trains

Research article (UCL Discovery (University College London), 2018) · cited 20× · AI/ML
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Temporal alignment and latent Gaussian process factor inference in population spike trains

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Temporal alignment and latent Gaussian process factor inference in population spike trains is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Temporal alignment and latent Gaussian process factor inference in population spike trains. Retrieved May 24, 2026, from https://4ort.xyz/entity/temporal-alignment-and-latent-gaussian-process-factor-inference-in-population-spike-trains
MLA “Temporal alignment and latent Gaussian process factor inference in population spike trains.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/temporal-alignment-and-latent-gaussian-process-factor-inference-in-population-spike-trains.
BibTeX @misc{4ortxyz_temporal-alignment-and-latent-gaussian-process-factor-inference-in-population-spike-trains_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Temporal alignment and latent Gaussian process factor inference in population spike trains}}, year = {2026}, url = {https://4ort.xyz/entity/temporal-alignment-and-latent-gaussian-process-factor-inference-in-population-spike-trains}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Temporal alignment and latent Gaussian process factor inference in population spike trains — https://4ort.xyz/entity/temporal-alignment-and-latent-gaussian-process-factor-inference-in-population-spike-trains (retrieved 2026-05-24)

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