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Temporal updating, behavioral learning, and the phenomenology of time-consciousness

Published online by Cambridge University Press:  12 December 2019

Genevieve Hayman  and
Bryce Huebner Open the ORCID record for Bryce Huebner [Opens in a new window]
Genevieve Hayman
Affiliation:
Department of Philosophy, Georgetown University, Washington, DC20057. gh498@georgetown.eduBryce.Huebner@Georgetown.edubrycehuebner.weebly.com
Bryce Huebner
Affiliation:
Department of Philosophy, Georgetown University, Washington, DC20057. gh498@georgetown.eduBryce.Huebner@Georgetown.edubrycehuebner.weebly.com
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Abstract

Hoerl & McCormack claim that the temporal updating system only represents the world as present. This generates puzzles regarding the phenomenology of temporal experience. We argue that recent models of reinforcement learning suggest that temporal updating must have a minimal temporal structure; and we suggest that this helps to clarify what it means to experience the world as temporally structured.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 42 , 2019 , e254
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Copyright
Copyright © Cambridge University Press 2019

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References

Gallagher, S. (2011) Time in action. In: The Oxford handbook of philosophy of time, ed. Callendar, C., pp. 420–38. Oxford University Press.Google Scholar
Gallagher, S. (2013) Husserl and the phenomenology of temporality. In: A companion to the philosophy of time, ed. Dyke, H. & Bardon, A., pp. 135–50. Wiley-Blackwell.CrossRefGoogle Scholar
Gershman, S. J., Moustafa, A. A. & Ludvig, E. A. (2014) Time representation in reinforcement learning models of the basal ganglia. Frontiers in Computational Neuroscience 7:194.CrossRefGoogle ScholarPubMed
Hoerl, C. (2013a). Husserl, the absolute flow, and temporal experience. Philosophy and Phenomenological Research 86(2):376–411.CrossRefGoogle Scholar
Hoerl, C. (2013b). A succession of feelings, in and of itself, is not a feeling of succession. Mind 122(486):373–417.CrossRefGoogle Scholar
Husserl, E. (1917/1991) On the phenomenology of the consciousness of internal time (1983–1917), vol. 4 (Brough, J. B., trans.). Kluwer Academic. (Original work published in 1917).Google Scholar
Ismael, J. (2017) Passage, flow and the logic of temporal perspectives. In: Time of nature and the nature of time, ed. Bouton, C. & Huneman, P., pp. 23–38. Springer. doi:10.1007/978-3-319-53725-2_2.CrossRefGoogle Scholar
Luzardo, A., Alonso, E. & Mondragón, E. (2017) A Rescorla-Wagner drift-diffusion model of conditioning and timing. PLOS Computational Biology 13(11):e1005796.CrossRefGoogle Scholar
Momennejad, I., Russek, E. M., Cheong, J. H., Botvinick, M. M., Daw, N. D. & Gershman, S. J. (2017) The successor representation in human reinforcement learning. Nature Human Behaviour 1(9):680.CrossRefGoogle ScholarPubMed
Niv, Y. (2009) Reinforcement learning in the brain. Journal of Mathematical Psychology 53(3):139–54.CrossRefGoogle Scholar
Petter, E. A., Gershman, S. J. & Meck, W. H. (2018) Integrating models of interval timing and reinforcement learning. Trends in Cognitive Sciences 22(10):911–22.CrossRefGoogle ScholarPubMed
Thompson, E. (2007) Mind in life: Biology, phenomenology, and the sciences of mind. Harvard University Press.Google Scholar