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  1. Aesthetics and Predictive Processing: Grounds and Prospects of a Fruitful Encounter.Jacopo Frascaroli, Helmut Leder, Elvira Brattico & Sander Van de Cruys - 2024 - Philosophical Transactions of the Royal Society B 379 (20220410).
    In the last few years, a remarkable convergence of interests and results has emerged between scholars interested in the arts and aesthetics from a variety of perspectives and cognitive scientists studying the mind and brain within the predictive processing (PP) framework. This convergence has so far proven fruitful for both sides: while PP is increasingly adopted as a framework for understanding aesthetic phenomena, the arts and aesthetics, examined under the lens of PP, are starting to be seen as important windows (...)
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  • Cellular Mechanisms of Cooperative Context-Sensitive Predictive Inference.Tomas Marvan & William Alfred Phillips - 2024 - Current Research in Neurobiology 6.
    We argue that prediction success maximization is a basic objective of cognition and cortex, that it is compatible with but distinct from prediction error minimization, that neither objective requires subtractive coding, that there is clear neurobiological evidence for the amplification of predicted signals, and that we are unconvinced by evidence proposed in support of subtractive coding. We outline recent discoveries showing that pyramidal cells on which our cognitive capabilities depend usually transmit information about input to their basal dendrites and amplify (...)
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  • The role of metacognitive feelings in motivation.Rolf Reber, Josefine Haugen & Liva J. Martinussen - 2025 - Behavioral and Brain Sciences 48:e40.
    Metacognitive feelings are an integral part of mental computational processes and influence the outcome of computations. We review supporting evidence on affect inherent in perceptual processes, fluency in study decisions, metacognitive feelings in aha-experiences and intuition, and affect in early phases of interest development. These findings connect to recent theories that combine metacognitive feelings with computational models.
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