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  1. Visual working memory capacity: from psychophysics and neurobiology to individual differences.Steven J. Luck & Edward K. Vogel - 2013 - Trends in Cognitive Sciences 17 (8):391-400.
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  • Reasoning Studies. From Single Norms to Individual Differences.Niels Skovgaard-Olsen - 2022 - Dissertation, University of Freiburg
    Habilitation thesis in psychology. The book consists of a collection of reasoning studies. The experimental investigations will take us from people’s reasoning about probabilities, entailments, pragmatic factors, argumentation, and causality to morality. An overarching theme of the book is norm pluralism and individual differences in rationality research.
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  • Origin of perseveration in the trade-off between reward and complexity.Samuel J. Gershman - 2020 - Cognition 204 (C):104394.
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  • Norm Conflicts and Conditionals.Niels Skovgaard-Olsen, David Kellen, Ulrike Hahn & Karl Christoph Klauer - 2019 - Psychological Review 126 (5):611-633.
    Suppose that two competing norms, N1 and N2, can be identified such that a given person’s response can be interpreted as correct according to N1 but incorrect according to N2. Which of these two norms, if any, should one use to interpret such a response? In this paper we seek to address this fundamental problem by studying individual variation in the interpretation of conditionals by establishing individual profiles of the participants based on their case judgments and reflective attitudes. To investigate (...)
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  • Rate–distortion theory and human perception.Chris R. Sims - 2016 - Cognition 152:181-198.
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  • Chunking and data compression in verbal short-term memory.Dennis Norris & Kristjan Kalm - 2021 - Cognition 208 (C):104534.
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  • The Importance of Natural Hand Interaction in Virtual Reality : Will Memorization Ability Increase with Higher Sense of Ownership in VR?Julia Rosén, Kai Hübner & Christian Balkenius - 2017 - In Anders Arweström Jansson, Anton Axelsson, Rebecca Andreasson & Erik Billing (eds.), Proceedings of the 13th SweCog Conference. pp. 60-62.
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  • Implications of capacity-limited, generative models for human vision.Joseph Scott German & Robert A. Jacobs - 2023 - Behavioral and Brain Sciences 46:e391.
    Although discriminative deep neural networks are currently dominant in cognitive modeling, we suggest that capacity-limited, generative models are a promising avenue for future work. Generative models tend to learn both local and global features of stimuli and, when properly constrained, can learn componential representations and response biases found in people's behaviors.
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  • Semantic influence on visual working memory of object identity and location.Ruoyang Hu & Robert A. Jacobs - 2021 - Cognition 217 (C):104891.
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