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Autoren: Wiese, Wanja
Titel: Predictive processing and the phenomenology of time consciousness : a hierarchical extension of Rick Grush's trajectory estimation model
Online-Publikationsdatum: 1-Jun-2017
Sprache des Dokuments: Englisch
Zusammenfassung/Abstract: This chapter explores to what extent some core ideas of predictive processing can be applied to the phenomenology of time consciousness. The focus is on the experienced continuity of consciously perceived, temporally extended phenomena (such as enduring processes and successions of events). The main claim is that the hierarchy of representations posited by hierarchical predictive processing models can contribute to a deepened understanding of the continuity of consciousness. Computationally, such models show that sequences of events can be represented as states of a hierarchy of dynamical systems. Phenomenologically, they suggest a more fine-grained analysis of the perceptual contents of the specious present, in terms of a hierarchy of nested temporal wholes. Visual perception of static scenes not only contains perceived objects and regions but also spatial gist; similarly, auditory perception of temporal sequences, such as melodies, involves not only perceiving individual notes but also slightly more abstract features (temporal gist), which have longer temporal durations (e.g., emotional character or rhythm). Further investigations into these elusive contents of conscious perception may be facilitated by findings regarding its neural underpinnings. Predictive processing models suggest that sensorimotor areas may influence these contents. i am highly grateful to martin butz, jakob hohwy, marius jung, thomas metzinger, mark miller, iuliia pliushch, and lisa quadt for providing a number of very useful comments on drafts of this paper. thanks to robin wilson for excellent editorial help.},
DDC-Sachgruppe: 100 Philosophie
100 Philosophy
Veröffentlichende Institution: Johannes Gutenberg-Universität Mainz
Organisationseinheit: FB 05 Philosophie und Philologie
Veröffentlichungsort: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-649
URN: urn:nbn:de:hebis:77-publ-566689
Version: Published version
Publikationstyp: Buchbeitrag
Nutzungsrechte: CC BY-ND
Informationen zu den Nutzungsrechten: https://creativecommons.org/licenses/by-nd/4.0/
Quelle: Philosophy and predictive processing
Metzinger, Thomas
Seitenzahl oder Artikelnummer: 433
453
Verlag: MIND Group
Verlagsort: Frankfurt am Main
Erscheinungsdatum: 2017
URL der Originalveröffentlichung: http://dx.doi.org/10.15502/9783958573277
DOI der Originalveröffentlichung: 10.15502/9783958573277
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