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  1. Natural Kinds (Cambridge Elements in Philosophy of Science).Muhammad Ali Khalidi - 2023 - Cambridge University Press.
    Scientists cannot devise theories, construct models, propose explanations, make predictions, or even carry out observations, without first classifying their subject matter. The goal of scientific taxonomy is to come up with classification schemes that conform to nature's own. Another way of putting this is that science aims to devise categories that correspond to 'natural kinds.' The interest in ascertaining the real kinds of things in nature is as old as philosophy itself, but it takes on a different guise when one (...)
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  • Précis: The Emotional Mind: The Affective Roots of Culture and Cognition.Stephen Asma & Rami Gabriel - 2021 - Journal of Philosophy of Emotion 2 (2):1-7.
    An affective approach to culture and cognition may hold the key to uniting findings across experimental psychology and, eventually, the human sciences. Many accounts of the human mind concentrate on the brain’s computational power, yet for nearly 200 million years before humans developed a capacity to reason the emotional centers of the brain were running the show. To attain a clearer picture of the evolution of mind, we challenge the cognitivist and behaviorist paradigms in psychology by exploring how the emotional (...)
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  • Beyond the Platonic Brain: facing the challenge of individual differences in function-structure mapping.Marco Viola - 2020 - Synthese 199 (1-2):2129-2155.
    In their attempt to connect the workings of the human mind with their neural realizers, cognitive neuroscientists often bracket out individual differences to build a single, abstract model that purportedly represents (almost) every human being’s brain. In this paper I first examine the rationale behind this model, which I call ‘Platonic Brain Model’. Then I argue that it is to be surpassed in favor of multiple models allowing for patterned inter-individual differences. I introduce the debate on legitimate (and illegitimate) ways (...)
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  • Neural correlates without reduction: the case of the critical period.Muhammad Ali Khalidi - 2020 - Synthese 197 (5):1-13.
    Researchers in the cognitive sciences often seek neural correlates of psychological constructs. In this paper, I argue that even when these correlates are discovered, they do not always lead to reductive outcomes. To this end, I examine the psychological construct of a critical period and briefly describe research identifying its neural correlates. Although the critical period is correlated with certain neural mechanisms, this does not imply that there is a reductionist relationship between this psychological construct and its neural correlates. Instead, (...)
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  • Cognitive ontology and the search for neural mechanisms: three foundational problems.Jolien C. Francken, Marc Slors & Carl F. Craver - 2022 - Synthese 200 (5):1-22.
    The central task of cognitive neuroscience to map cognitive capacities to neural mechanisms faces three interlocking conceptual problems that together frame the problem of cognitive ontology. First, they must establish which tasks elicit which cognitive capacities, and specifically when different tasks elicit the same capacity. To address this operationalization problem, scientists often assess whether the tasks engage the same neural mechanisms. But to determine whether mechanisms are of the same or different kinds, we need to solve the abstraction problem by (...)
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  • The notorious neurophilosophy of pain: A family resemblance approach to idiosyncrasy and generalizability.Sabrina Coninx - 2021 - Mind and Language 38 (1):178-197.
    Pain continues to be one of the most controversial subjects in neurophilosophy. One focus of current debates is the apparent absence of an ideal brain‐based biomarker that could function as a coherent and distinct indicator for pain. One prominent reaction to this in the philosophical literature is scientific pain eliminativism. In this article, I argue for a non‐eliminative alternative that builds on family resemblances and provides a useful heuristic in the tradeoff between the idiosyncrasy of the neural processes corresponding to (...)
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  • Getting over Atomism: Functional Decomposition in Complex Neural Systems.Daniel C. Burnston - 2021 - British Journal for the Philosophy of Science 72 (3):743-772.
    Functional decomposition is an important goal in the life sciences, and is central to mechanistic explanation and explanatory reduction. A growing literature in philosophy of science, however, has challenged decomposition-based notions of explanation. ‘Holists’ posit that complex systems exhibit context-sensitivity, dynamic interaction, and network dependence, and that these properties undermine decomposition. They then infer from the failure of decomposition to the failure of mechanistic explanation and reduction. I argue that complexity, so construed, is only incompatible with one notion of decomposition, (...)
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