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Temporal pairwise spike correlations fully capture single-neuron information

Research article (Nature Communications, 2016) · cited 27× · AI/ML
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Summary

Temporal pairwise spike correlations fully capture single-neuron information is a scholarly article[1].

Key Facts

  • Temporal pairwise spike correlations fully capture single-neuron information'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). Temporal pairwise spike correlations fully capture single-neuron information. Retrieved October 17, 2026, from https://4ort.xyz/entity/temporal-pairwise-spike-correlations-fully-capture-single-neuron-information
MLA “Temporal pairwise spike correlations fully capture single-neuron information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 17 Oct. 2026, https://4ort.xyz/entity/temporal-pairwise-spike-correlations-fully-capture-single-neuron-information.
BibTeX @misc{4ortxyz_temporal-pairwise-spike-correlations-fully-capture-single-neuron-information_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Temporal pairwise spike correlations fully capture single-neuron information}}, year = {2026}, url = {https://4ort.xyz/entity/temporal-pairwise-spike-correlations-fully-capture-single-neuron-information}, note = {Accessed: 2026-10-17}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Temporal pairwise spike correlations fully capture single-neuron information — https://4ort.xyz/entity/temporal-pairwise-spike-correlations-fully-capture-single-neuron-information (retrieved 2026-10-17)

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