Weiskopf, Daniel (2016) Integrative Modeling and the Role of Neural Constraints. [Preprint]

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Abstract

Neuroscience constrains psychology, but stating these constraints with precision is not simple. Here I consider whether mechanistic analysis provides a useful way to integrate models of cognitive and neural structure. Recent evidence suggests that cognitive systems map onto overlapping, distributed networks of brain regions. These highly entangled networks often depart from stereotypical mechanistic behaviors. While this casts doubt on the prospects for classical mechanistic integration of psychology and neuroscience, I argue that it does not impugn a realistic interpretation of either type of model. Cognitive and neural models may depict different, but equally real, causal structures within the mind/brain.

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Item Type:	Preprint
Creators:	Creators Email ORCID Weiskopf, Daniel dweiskopf@gsu.edu
Keywords:	modeling; model integration; realization; mechanisms; autonomy; psychology; neuroscience
Subjects:	General Issues > Causation Specific Sciences > Cognitive Science General Issues > Models and Idealization Specific Sciences > Psychology
Depositing User:	Daniel Weiskopf
Date Deposited:	20 Jan 2016 13:38
Last Modified:	20 Jan 2016 13:38
Item ID:	11872
Subjects:	General Issues > Causation Specific Sciences > Cognitive Science General Issues > Models and Idealization Specific Sciences > Psychology
Date:	2016
URI:	https://philsci-archive.pitt.edu/id/eprint/11872

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