Date of Award
Master of Arts (MA)
In this thesis, I defend the explanatory force of algorithmic information processing models in cognitive neuroscience. I describe the algorithmic approach to cognitive explanation, its relation to Shea’s theory of cognitive representation, and challenges stemming from neuronal population analysis and dimensionality reduction. I then consider competing interpretations of some neuroscientific data that have been central to the debate. I argue in favor of a sequenced computational explanation of the phenomenon, contra Burnston. Finally, I argue that insights from theoretical neuroscience allow us to understand why dimensionality reduction does not militate against localizing distinct contents to distinct components of functioning brain systems.
Kinsey, Spencer, "A Defense of Algorithmic Homuncularism." Thesis, Georgia State University, 2022.
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