Article

Long-Horizon associative learning as a unifying framework for statistical learning across scales

2025-03-13

Abstract excerpt

Sensory inputs are rich with temporal patterns that unfold across multiple timescales. Discovering these regularities is essential for predicting future events and navigating the environment efficiently. Numerous models have been proposed to account for learning at specific temporal scales; however, they are often designed in isolation and rely on narrowly tuned statistical measures, limiting their generalizabilit...

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Literature Corpus work: eb52bf3d-b7ae-5d9a-a57b-661469d0323a
DOI: 10.1101/2025.03.12.642610

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