Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons

Research article (PLoS Computational Biology, 2020) · cited 20× · AI/ML
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Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons

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Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons. Retrieved May 24, 2026, from https://4ort.xyz/entity/randomly-connected-networks-generate-emergent-selectivity-and-predict-decoding-properties-of-large-populations-of-neuron
MLA “Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/randomly-connected-networks-generate-emergent-selectivity-and-predict-decoding-properties-of-large-populations-of-neuron.
BibTeX @misc{4ortxyz_randomly-connected-networks-generate-emergent-selectivity-and-predict-decoding-properties-of-large-populations-of-neuron_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons}}, year = {2026}, url = {https://4ort.xyz/entity/randomly-connected-networks-generate-emergent-selectivity-and-predict-decoding-properties-of-large-populations-of-neuron}, note = {Accessed: 2026-05-24}}
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