Pokropski, Marek and Suffczynski, Piotr (2023) First-person constraints on dynamic-mechanistic explanations in neuroscience: The case of migraine and epilepsy models. Synthese, 202 (5). ISSN 1573-0964
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Abstract
According to recent discussion, cross-explanatory integration in cognitive science might proceed by constraints on mechanistic and dynamic-mechanistic models provided by different research fields. However, not much attention has been given to constraints that could be provided by the study of first-person experience, which in the case of multifaceted mental phenomena are of key importance. In this paper, we fill this gap and consider the question whether information about first-person experience can constrain dynamic-mechanistic models and what the character of this relation is. We discuss two cases of such explanatory models in neuroscience, namely that of migraine and of epilepsy. We argue that, in these cases, first-person insights about the target phenomena significantly contributed to explanatory models by shaping explanatory hypotheses and by indicating the dynamical properties that the explanatory models of these phenomena should account for, and thus directly constraining the space of possible explanations.
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| Item Type: | Published Article or Volume | |||||||||
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| Keywords: | explanation, neuroscience, mechanism, first-person experience | |||||||||
| Subjects: | Specific Sciences > Cognitive Science General Issues > Explanation General Issues > Models and Idealization Specific Sciences > Neuroscience |
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| Depositing User: | Dr Marek Pokropski | |||||||||
| Date Deposited: | 03 Aug 2024 15:42 | |||||||||
| Last Modified: | 03 Aug 2024 15:42 | |||||||||
| Item ID: | 23743 | |||||||||
| Journal or Publication Title: | Synthese | |||||||||
| Official URL: | http://doi.org/10.1007/s11229-023-04396-9 | |||||||||
| DOI or Unique Handle: | 10.1007/s11229-023-04396-9 | |||||||||
| Subjects: | Specific Sciences > Cognitive Science General Issues > Explanation General Issues > Models and Idealization Specific Sciences > Neuroscience |
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| Date: | 2023 | |||||||||
| Volume: | 202 | |||||||||
| Number: | 5 | |||||||||
| ISSN: | 1573-0964 | |||||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/23743 |
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