Forward models demonstrate that repetition suppression is best modelled by local neural scaling

Research article (Nature Communications, 2018) · cited 37× · AI/ML
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Forward models demonstrate that repetition suppression is best modelled by local neural scaling

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Forward models demonstrate that repetition suppression is best modelled by local neural scaling is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Forward models demonstrate that repetition suppression is best modelled by local neural scaling. Retrieved May 24, 2026, from https://4ort.xyz/entity/forward-models-demonstrate-that-repetition-suppression-is-best-modelled-by-local-neural-scaling
MLA “Forward models demonstrate that repetition suppression is best modelled by local neural scaling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forward-models-demonstrate-that-repetition-suppression-is-best-modelled-by-local-neural-scaling.
BibTeX @misc{4ortxyz_forward-models-demonstrate-that-repetition-suppression-is-best-modelled-by-local-neural-scaling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forward models demonstrate that repetition suppression is best modelled by local neural scaling}}, year = {2026}, url = {https://4ort.xyz/entity/forward-models-demonstrate-that-repetition-suppression-is-best-modelled-by-local-neural-scaling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Forward models demonstrate that repetition suppression is best modelled by local neural scaling — https://4ort.xyz/entity/forward-models-demonstrate-that-repetition-suppression-is-best-modelled-by-local-neural-scaling (retrieved 2026-05-24)

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