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  1. The effects of spatial stability and cue type on spatial learning: Implications for theories of parallel memory systems.Matthew G. Buckley, Joe M. Austen, Liam A. M. Myles, Shamus Smith, Niklas Ihssen, Adina R. Lew & Anthony McGregor - 2021 - Cognition 214 (C):104802.
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  • The Oxford Handbook of Causal Reasoning.Michael Waldmann (ed.) - 2017 - Oxford, England: Oxford University Press.
    Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. In the past decades, the important role of causal knowledge has been discovered in many areas of cognitive (...)
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  • Why are some dimensions integral? Testing two hypotheses through causal learning experiments.Fabián A. Soto, Gonzalo R. Quintana, Andrés M. Pérez-Acosta, Fernando P. Ponce & Edgar H. Vogel - 2015 - Cognition 143 (C):163-177.
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  • Structuring Memory Through Inference‐Based Event Segmentation.Yeon Soon Shin & Sarah DuBrow - 2021 - Topics in Cognitive Science 13 (1):106-127.
    Shin and DuBrow propose that a key principle driving event segmentation relates to causal analyses: specifically, that experiences that are attributed as having the same underlying cause are grouped together into an event. This offers an alternative to accounts of segmentation based on prediction error.
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  • Categorization training increases the perceptual separability of novel dimensions.Fabian A. Soto & F. Gregory Ashby - 2015 - Cognition 139 (C):105-129.
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