Now is the Time: Generative Neurophenomenology Beyond Generative Passages and Generative Models
Anne Monnier,
Lena Adel and
Guillaume Dumas
Additional contact information
Lena Adel: McGill University
Guillaume Dumas: Institut Pasteur
No 5wuyn, OSF Preprints from Center for Open Science
Abstract:
Generative phenomenology investigates consciousness by incorporating its intersubjective, social, cultural, and historical dimensions. For the past 30 years, the neurophenomenology pragmatic approach has embraced an embodied perspective of the mind by integrating experiential first-person and neurobehavioural third-person data. Neurophenomenology reveals mutual constraints between the two, as first- and third-person data co-constitute the conscious experience of a person. This article emphasises the intersubjective and social facets of lived experience as well as the readiness of the community to use a "generative neurophenomenology" approach. For this endeavour, we propose to combine existing practices and methods to update the neurophenomenological program of research started in the 90ies: First, by transitioning from individual to multiple people phenomenology methods that include intersubjectivity experience; second, by expanding traditional neuroscience to include measures of multimodal interpersonal synchrony; and third, by leveraging multiple computational tools to integrate different viewpoints, thereby enriching our understanding of conscious experience, on top of better capturing invariants of human experience; We also underscore the potential of diverse mathematical formalisms to capture aspects of human experience, all while underscoring that using computational approaches to model neurophenomenology does not entail endorsing computationalism as a grounding hypothesis of human experience. Finally, we highlight the implications of using this paradigm in psychiatry.
Date: 2024-11-06
New Economics Papers: this item is included in nep-evo
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://osf.io/download/6724df34d0facd6c65df24b7/
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:5wuyn
DOI: 10.31219/osf.io/5wuyn
Access Statistics for this paper
More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().