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  1. From Generative Models to Generative Passages: A Computational Approach to (Neuro) Phenomenology.Maxwell J. D. Ramstead, Anil K. Seth, Casper Hesp, Lars Sandved-Smith, Jonas Mago, Michael Lifshitz, Giuseppe Pagnoni, Ryan Smith, Guillaume Dumas, Antoine Lutz, Karl Friston & Axel Constant - forthcoming - Review of Philosophy and Psychology:1-29.
    This paper presents a version of neurophenomenology based on generative modelling techniques developed in computational neuroscience and biology. Our approach can be described as computational phenomenology because it applies methods originally developed in computational modelling to provide a formal model of the descriptions of lived experience in the phenomenological tradition of philosophy. The first section presents a brief review of the overall project to naturalize phenomenology. The second section presents and evaluates philosophical objections to that project and situates our version (...)
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  • Sign-free Biosemantics and Transcendental Phenomenology: a Better Non-Metaphysical Approach to Close the Mind-body Gap.Zixuan Liu - forthcoming - Biosemiotics:1-32.
    Attempts to close the mind-body gap traditionally resort to a priori speculations. Motivated by dissatisfaction with such accounts, neurophenomenology constitutes one of the first attempts to close the mind-body gap non-metaphysically. Nonetheless, it faces significant challenges. Many of these challenges arise from its abandoning of transcendentality and its dim view of bioinformation. In this paper, I propose a superior non-metaphysical alternative: a combination of a reformed biosemiotics and transcendental phenomenology. My approach addresses the difficulties of neurophenomenology, while retaining the merit (...)
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