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Ari Kahn

As seen in: Forbes, Nature, The Independent (UK), Wiley Online Library, PLOS, The Jerusalem Post, The Times of Israel, BioRxiv, Cell Press, CleanTechnica and
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Articles

Developmental Change in Structure Learning Reflects a Shift From Recency-Based to Relational Prediction

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By Kate Nussenbaum, Ari Kahn, Alice Zhang
| Wiley Online Library Verified
1 Introduction Across development, experiences in the world unfold in a continuous, temporal stream. This stream of experiences tends to have rich structure that can be exploited to guide predictions about the future and subsequent behavior. Across repetitions of structured streams of input, people form temporal associations between their experiences, grouping them into more abstract event representations or “temporal schemas” (Ghosh and Gilboa 2014; Schapiro et al. 2013; Schapiro et al. 2016).
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Trial-by-trial learning of successor representations in human behavior

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By Ari Kahn, Dani S. Bassett, Nathaniel D. Daw
| PLOS
Citation: Kahn AE, Bassett DS, Daw ND (2025) Trial-by-trial learning of successor representations in human behavior. PLoS Comput Biol 21(11): e1013696. https://doi.org/10.1371/journal.pcbi.1013696 Editor: Wolfgang Einhäuser, Technische Universitat Chemnitz, GERMANY Received: February 10, 2025; Accepted: November 3, 2025; Published: November 17, 2025 Copyright: © 2025 Kahn et al.
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Publisher Correction: Humans rationally balance detailed and temporally abstract world models - Communications Psychology

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By Ari Kahn, Nathaniel D. Daw
| Nature Verified
Correction to: Communications Psychology https://doi.org/10.1038/s44271-024-00169-3, published online 04 January 2025 In the version of this article initially published, ampersands were missing in equation (2), now reading “actionTowardsSample ~ 1 + rwd + sibNoRwd + onPolicy + rwd & sibNoRwd + rwd & onPolicy,” while the positive and negative terms (+, –) in the "Blockwise change analysis" section were formatted incorrectly as plus or minus operators.
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