From Generative Models to Generative Passages: A Computational Approach to (Neuro) Phenomenology

Review of Philosophy and Psychology 13 (4):829-857 (2022)
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Abstract

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 (e.g., the work of Edmund Husserl, Maurice Merleau-Ponty, etc.). 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 of computational phenomenology with respect to these projects. The third section reviews the generative modelling framework. The final section presents our approach in detail. We conclude by discussing how our approach differs from previous attempts to use generative modelling to help understand consciousness. In summary, we describe a version of computational phenomenology which uses generative modelling to construct a computational model of the inferential or interpretive processes that best explain this or that kind of lived experience.

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References found in this work

Mind in Life: Biology, Phenomenology, and the Sciences of Mind.Evan Thompson - 2007 - Cambridge, Mass.: Harvard University Press.
Phenomenology of Perception.Maurice Merleau-Ponty - 1945 - New York: Routledge. Edited by Donald A. Landes.
The Phenomenological Mind.Shaun Gallagher & Dan Zahavi - 2008 - New York, NY: Routledge. Edited by Dan Zahavi.

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