Variability in training unlocks generalization in visual perceptual learning through invariant representations

Research article (Current Biology, 2023) · cited 36× · AI/ML
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Variability in training unlocks generalization in visual perceptual learning through invariant representations

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Variability in training unlocks generalization in visual perceptual learning through invariant representations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Variability in training unlocks generalization in visual perceptual learning through invariant representations. Retrieved May 24, 2026, from https://4ort.xyz/entity/variability-in-training-unlocks-generalization-in-visual-perceptual-learning-through-invariant-representations
MLA “Variability in training unlocks generalization in visual perceptual learning through invariant representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/variability-in-training-unlocks-generalization-in-visual-perceptual-learning-through-invariant-representations.
BibTeX @misc{4ortxyz_variability-in-training-unlocks-generalization-in-visual-perceptual-learning-through-invariant-representations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Variability in training unlocks generalization in visual perceptual learning through invariant representations}}, year = {2026}, url = {https://4ort.xyz/entity/variability-in-training-unlocks-generalization-in-visual-perceptual-learning-through-invariant-representations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Variability in training unlocks generalization in visual perceptual learning through invariant representations — https://4ort.xyz/entity/variability-in-training-unlocks-generalization-in-visual-perceptual-learning-through-invariant-representations (retrieved 2026-05-24)

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