The Explanatory Force of Dynamical and Mathematical Models in Neuroscience: A Mechanistic Perspective*
By David M. Kaplan, Carl F. Craver. Philosophia Scientiæ, 2011
330 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, History and Philosophy of Science
View Paper: https://www.semanticscholar.org/paper/ce91357b43994e90b7756934aa82043c85a77077
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
In History and Philosophy of Science
- Collin Rice
- Robert W. Batterman
- Atoosa Kasirzadeh
- Christopher Pincock
- Julia R. S. Bursten
- Christopher Grimsley
- Elijah Mayfield
- Jeremy Butterfield
Citations in the corpus
- Moving Beyond Causes: Optimality Models and Scientific Explanation (2015, methodology): “…represent some of the actual causes (or causal mechanisms) in the event’s causal history.3 This striving for accurate representation of salient causes is also present in a prominent approach to using models as explanations (Craver 2006; Kaplan and Craver 2011; Potochnik 2007; Strevens 2009).”
- Minimal Model Explanations (2014, background): “Accuracy requirements are prominent in various accounts that claim that only mechanistic models explain ðCraver 2006; Kaplan 2011; Kaplan and Craver 2011Þ. Mechanistic accounts typically place extremely strict accuracy conditions on explanatory models by requiring that the model accurately describe…”