Integrative Modeling and the Role of Neural Constraints

Philosophy of Science 83 (5):647-685 (2016)
  Copy   BIBTEX

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.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 92,410

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Networks with Attitudes.Paul Skokowski - 2007 - Artificial Intelligence and Society 22 (3):461-470.
Neural constraints in cognitive science.Keith Butler - 1994 - Minds and Machines 4 (2):129-62.
On levels of cognitive modeling.Ron Sun, Andrew Coward & Michael J. Zenzen - 2005 - Philosophical Psychology 18 (5):613-637.
Minds, models and mechanisms: a new perspective on intentional psychology.Eric Hochstein - 2012 - Journal of Experimental & Theoretical Artificial Intelligence 24 (4):547-557.
Some Neural Networks Compute, Others Don't.Gualtiero Piccinini - 2008 - Neural Networks 21 (2-3):311-321.

Analytics

Added to PP
2016-01-25

Downloads
71 (#232,838)

6 months
13 (#202,760)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Daniel Weiskopf
Georgia State University