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  1. Are Generative Models Structural Representations?Marco Facchin - 2021 - Minds and Machines 31 (2):277-303.
    Philosophers interested in the theoretical consequences of predictive processing often assume that predictive processing is an inferentialist and representationalist theory of cognition. More specifically, they assume that predictive processing revolves around approximated Bayesian inferences drawn by inverting a generative model. Generative models, in turn, are said to be structural representations: representational vehicles that represent their targets by being structurally similar to them. Here, I challenge this assumption, claiming that, at present, it lacks an adequate justification. I examine the only argument (...)
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  • Bayesian Cognitive Science, Predictive Brains, and the Nativism Debate.Matteo Colombo - 2018 - Synthese 195 (11):4817-4838.
    The rise of Bayesianism in cognitive science promises to shape the debate between nativists and empiricists into more productive forms—or so have claimed several philosophers and cognitive scientists. The present paper explicates this claim, distinguishing different ways of understanding it. After clarifying what is at stake in the controversy between nativists and empiricists, and what is involved in current Bayesian cognitive science, the paper argues that Bayesianism offers not a vindication of either nativism or empiricism, but one way to talk (...)
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  • The Computational Theory of Mind.Steven Horst - 2005 - Stanford Encyclopedia of Philosophy.
    Over the past thirty years, it is been common to hear the mind likened to a digital computer. This essay is concerned with a particular philosophical view that holds that the mind literally is a digital computer (in a specific sense of “computer” to be developed), and that thought literally is a kind of computation. This view—which will be called the “Computational Theory of Mind” (CTM)—is thus to be distinguished from other and broader attempts to connect the mind with computation, (...)
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  • Experiential Neurorehabilitation: A Neurological Therapy Based on the Enactive Paradigm.David Martínez-Pernía - 2020 - Frontiers in Psychology 11.
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  • What Can Network Science Tell Us About Phonology and Language Processing?Michael S. Vitevitch - 2022 - Topics in Cognitive Science 14 (1):127-142.
    Topics in Cognitive Science, Volume 14, Issue 1, Page 127-142, January 2022.
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  • Interaction Between Phonological and Semantic Representations: Time Matters.Qi Chen & Daniel Mirman - 2015 - Cognitive Science 39 (3):538-558.
    Computational modeling and eye-tracking were used to investigate how phonological and semantic information interact to influence the time course of spoken word recognition. We extended our recent models to account for new evidence that competition among phonological neighbors influences activation of semantically related concepts during spoken word recognition . The model made a novel prediction: Semantic input modulates the effect of phonological neighbors on target word processing, producing an approximately inverted-U-shaped pattern with a high phonological density advantage at an intermediate (...)
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  • An Efficient Coding Approach to the Debate on Grounded Cognition.Abel Wajnerman Paz - 2018 - Synthese 195 (12):5245-5269.
    The debate between the amodal and the grounded views of cognition seems to be stuck. Their only substantial disagreement is about the vehicle or format of concepts. Amodal theorists reject the grounded claim that concepts are couched in the same modality-specific format as representations in sensory systems. The problem is that there is no clear characterization of format or its neural correlate. In order to make the disagreement empirically meaningful and move forward in the discussion we need a neurocognitive criterion (...)
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  • Interactionism for the discerning mind?Derek Shiller - 2020 - Philosophical Studies 177 (4):931-946.
    Jaegwon Kim has developed an argument that interactionist dualists cannot account for the causal relations between minds and brains. This paper develops a closely related argument that focuses instead on the causal relations between minds and neurons. While there are several promising responses to Kim’s argument, their plausibility relies on a relatively simple understanding of mind–brain relations. Once we shift our focus to neurons, these responses lose their appeal. The problem is that even if mind–brain causal pairing can be explained (...)
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  • Reorganization of the Connectivity Between Elementary Functions – A Model Relating Conscious States to Neural Connections.Jesper Mogensen & Morten Overgaard - 2017 - Frontiers in Psychology 8.
  • The Rise of Cognitive Science in the 20th Century.Carrie Figdor - 2018 - In Amy Kind (ed.), Philosophy of Mind in the Twentieth and Twenty-First Centuries: The History of the Philosophy of Mind, Volume 6. Abingdon, UK and New York: Routledge. pp. 280-302.
    This chapter describes the conceptual foundations of cognitive science during its establishment as a science in the 20th century. It is organized around the core ideas of individual agency as its basic explanans and information-processing as its basic explanandum. The latter consists of a package of ideas that provide a mathematico-engineering framework for the philosophical theory of materialism.
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  • Bayesian Cognitive Science, Predictive Brains, and the Nativism Debate.Matteo Colombo - 2017 - Synthese:1-22.
    The rise of Bayesianism in cognitive science promises to shape the debate between nativists and empiricists into more productive forms—or so have claimed several philosophers and cognitive scientists. The present paper explicates this claim, distinguishing different ways of understanding it. After clarifying what is at stake in the controversy between nativists and empiricists, and what is involved in current Bayesian cognitive science, the paper argues that Bayesianism offers not a vindication of either nativism or empiricism, but one way to talk (...)
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  • The Best Laid Plans: Computational Principles of Anterior Cingulate Cortex.Clay B. Holroyd & Tom Verguts - 2021 - Trends in Cognitive Sciences 25 (4):316-329.
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  • Neural Oscillation Profiles of a Premise Monotonicity Effect During Semantic Category-Based Induction.Mingze Sun, Feng Xiao & Changquan Long - 2019 - Frontiers in Human Neuroscience 13.
  • Parallel Distributed Processing Theory in the Age of Deep Networks.Jeffrey S. Bowers - 2017 - Trends in Cognitive Sciences 21 (12):950-961.