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Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains

Research article (PLoS Computational Biology, 2016) · cited 94× · AI/ML
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Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains

Summary

Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains is a scholarly article[1].

Key Facts

  • Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-matrix-and-tensor-factorizations-for-the-single-trial-analysis-of-population-spike-trains
MLA “Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-matrix-and-tensor-factorizations-for-the-single-trial-analysis-of-population-spike-trains.
BibTeX @misc{4ortxyz_using-matrix-and-tensor-factorizations-for-the-single-trial-analysis-of-population-spike-trains_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains}}, year = {2026}, url = {https://4ort.xyz/entity/using-matrix-and-tensor-factorizations-for-the-single-trial-analysis-of-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): Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains — https://4ort.xyz/entity/using-matrix-and-tensor-factorizations-for-the-single-trial-analysis-of-population-spike-trains (retrieved 2026-05-24)

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