Neural models that convince: Model hierarchies and other strategies to bridge the gap between behavior and the brain
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Philosophical Psychology 20 (6):749 – 772 (2007)
Computational modeling of the brain holds great promise as a bridge from brain to behavior. To fulfill this promise, however, it is not enough for models to be 'biologically plausible': models must be structurally accurate. Here, we analyze what this entails for so-called psychobiological models, models that address behavior as well as brain function in some detail. Structural accuracy may be supported by (1) a model's a priori plausibility, which comes from a reliance on evidence-based assumptions, (2) fitting existing data, and (3) the derivation of new predictions. All three sources of support require modelers to be explicit about the ontology of the model, and require the existence of data constraining the modeling. For situations in which such data are only sparsely available, we suggest a new approach. If several models are constructed that together form a hierarchy of models, higher-level models can be constrained by lower-level models, and low-level models can be constrained by behavioral features of the higher-level models. Modeling the same substrate at different levels of representation, as proposed here, thus has benefits that exceed the merits of each model in the hierarchy on its own.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
David Marr (1982). Vision. Freeman.
Noam Chomsky (1965). Aspects of the Theory of Syntax. The MIT Press.
David Marr (1982). Vison. W. H. Freeman.
Carl Hempel (1965). Aspects of Scientific Explanation and Other Essays in the Philosophy of Science. The Free Press.
Michael Devitt (1991). Realism and Truth. B. Blackwell.
Citations of this work BETA
No citations found.
Similar books and articles
Peter E. Midford (2001). Robots Aren't the Only Physical Models. Behavioral and Brain Sciences 24 (6):1069-1070.
Mike Page (2000). Sticking to the Manifesto. Behavioral and Brain Sciences 23 (4):496-505.
Marthe Chandler (1988). Models of Voting Behavior in Survey Research. Synthese 76 (1):25 - 48.
Douglas Hanes & Gin McCollum (2003). Dimensionality and Explanatory Power of Reading Models. Behavioral and Brain Sciences 26 (4):486-487.
Ronald N. Giere (2001). The Nature and Function of Models. Behavioral and Brain Sciences 24 (6):1060-1060.
Bruce Bridgeman (1998). The Dynamical Model is a Perceptron. Behavioral and Brain Sciences 21 (5):631-632.
Matthias Scheutz (2001). Is There More to “Model” Than “Muddle”? Behavioral and Brain Sciences 24 (6):1076-1077.
Ron Sun, Andrew Coward & Michael J. Zenzen (2005). On Levels of Cognitive Modeling. Philosophical Psychology 18 (5):613-637.
Charles T. Snowdon (2000). Bottoms-Up! A Refreshing Change in Models. Behavioral and Brain Sciences 23 (2):266-267.
Added to index2009-01-28
Total downloads31 ( #128,514 of 1,906,799 )
Recent downloads (6 months)11 ( #60,326 of 1,906,799 )
How can I increase my downloads?