Mechanisms and Model-Based Functional Magnetic Resonance Imaging

被引:6
作者
Povich, Mark [1 ]
机构
[1] Washington Univ, Philosophy Neurosci Psychol Program, St Louis, MO 63130 USA
关键词
FMRI; REPRESENTATIONS; RECOGNITION; EXPLANATION; NETWORK;
D O I
10.1086/683438
中图分类号
N09 [自然科学史]; B [哲学、宗教];
学科分类号
01 ; 0101 ; 010108 ; 060207 ; 060305 ; 0712 ;
摘要
Mechanistic explanations satisfy widely held norms of explanation: the ability to manipulate and answer counterfactual questions about the explanandum phenomenon. A currently debated issue is whether any nonmechanistic explanations can satisfy these explanatory norms. Weiskopf argues that the models of object recognition and categorization, JIM, SUSTAIN, and ALCOVE, are not mechanistic yet satisfy these norms of explanation. In this article I argue that these models are mechanism sketches. My argument applies recent research using model-based functional magnetic resonance imaging, a novel neuro-imaging method whose significance for current debates on psychological models and mechanistic explanation has yet to be explored.
引用
收藏
页码:1035 / 1046
页数:12
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