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  1. For a Few Neurons More: Tractability and Neurally Informed Economic Modelling.Matteo Colombo - 2015 - British Journal for the Philosophy of Science 66 (4):713-736.
    There continues to be significant confusion about the goals, scope, and nature of modelling practice in neuroeconomics. This article aims to dispel some such confusion by using one of the most recent critiques of neuroeconomic modelling as a foil. The article argues for two claims. First, currently, for at least some economic model of choice behaviour, the benefits derivable from neurally informing an economic model do not involve special tractability costs. Second, modelling in neuroeconomics is best understood within Marr’s three-level (...)
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  • Deep and beautiful. The reward prediction error hypothesis of dopamine.Matteo Colombo - 2014 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 45 (1):57-67.
    According to the reward-prediction error hypothesis of dopamine, the phasic activity of dopaminergic neurons in the midbrain signals a discrepancy between the predicted and currently experienced reward of a particular event. It can be claimed that this hypothesis is deep, elegant and beautiful, representing one of the largest successes of computational neuroscience. This paper examines this claim, making two contributions to existing literature. First, it draws a comprehensive historical account of the main steps that led to the formulation and subsequent (...)
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  • Computational Modelling for Alcohol Use Disorder.Matteo Colombo - forthcoming - Erkenntnis:1-21.
    In this paper, I examine Reinforcement Learning modelling practice in psychiatry, in the context of alcohol use disorders. I argue that the epistemic roles RL currently plays in the development of psychiatric classification and search for explanations of clinically relevant phenomena are best appreciated in terms of Chang’s account of epistemic iteration, and by distinguishing mechanistic and aetiological modes of computational explanation.
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  • Can predictive processing explain self-deception?Marko Jurjako - 2022 - Synthese 200 (4):1-20.
    The prediction error minimization framework denotes a family of views that aim at providing a unified theory of perception, cognition, and action. In this paper, I discuss some of the theoretical limitations of PEM. It appears that PEM cannot provide a satisfactory explanation of motivated reasoning, as instantiated in phenomena such as self-deception, because its cognitive ontology does not have a separate category for motivational states such as desires. However, it might be thought that this objection confuses levels of explanation. (...)
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  • The unbearable lightness of the personal, explanatory level.Heath Williams - 2022 - Phenomenology and the Cognitive Sciences 22 (3):655-675.
    I begin this paper by demonstrating that there is a perceived overlap between phenomenology and the personal level. This perception has recently played a decisive role in evaluating phenomenological contributions to discussions within cognitive science, for example, on topics of social cognition. In this paper, I aim not only to understand what might be meant by associating phenomenology with the personal level, but to cast this association in a critical light. I show that the personal level is essentially an explanatory (...)
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  • Is a subpersonal virtue epistemology possible?Hadeel Naeem - 2023 - Philosophical Explorations 26 (3):350-367.
    Virtue reliabilists argue that an agent can only gain knowledge if she responsibly employs a reliable belief-forming process. This in turn demands that she is either aware that her process is reliable or is sensitive to her process’s reliability in some other way. According to a recent argument in the philosophy of mind, sometimes a cognitive mechanism (i.e. precision estimation) can ensure that a belief-forming process is only employed when it’s reliable. If this is correct, epistemic responsibility can sometimes be (...)
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  • Into the dark room: a predictive processing account of major depressive disorder.Regina E. Fabry - 2020 - Phenomenology and the Cognitive Sciences 19 (4):685-704.
    Major depression is a prevalent mental disorder that leads to persistent negative mood and tremendous suffering in affected individuals. However, the biological realization of this disorder and associated symptom clusters remain poorly understood. Recently, phenomenological accounts of major depressive disorder and contributions to the emerging predictive processing account have provided valuable insights into the phenomenological and neuro-functional components that lead to manifestations of major depressive episodes. The purpose of this paper is to weave together these different strands of research to (...)
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  • Naturalism Meets the Personal Level: How Mixed Modelling Flattens the Mind.Robert D. Rupert - manuscript
    In this essay, it is argued that naturalism of an even moderate sort speaks strongly against a certain widely held thesis about the human mental (and cognitive) architecture: that it is divided into two distinct levels, the personal and the subpersonal, about the former of which we gain knowledge in a manner that effectively insulates such knowledge from the results of scientific research. -/- An empirically motivated alternative is proposed, according to which the architecture is, so to speak, flattened from (...)
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