Ramstead2022_Article_FromGenerativeModelsToGenerati.pdf (1.12 MB)
From generative models to generative passages: a computational approach to (Neuro) phenomenology
Version 2 2023-06-12, 07:47
Version 1 2023-06-10, 03:16
journal contribution
posted on 2023-06-12, 07:47 authored by Maxwell J D Ramstead, Anil SethAnil Seth, Casper Hesp, Lars Sandved-Smith, Jonas Mago, Michael Lifshitz, Giuseppe Pagnoni, Ryan Smith, Guillaume Dumas, Antoine Lutz, Karl Friston, Axel ConstantThis 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.
History
Publication status
- Published
File Version
- Published version
Journal
Review of Philosophy and PsychologyISSN
1878-5158Publisher
SpringerExternal DOI
Department affiliated with
- Informatics Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2022-04-29First Open Access (FOA) Date
2022-04-29First Compliant Deposit (FCD) Date
2022-04-29Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC