For my seminar (Master's program CogNeuro), I am looking for papers/articles that argue in favor of or against AI (gladly with focus on machine learning) as a means of understanding mind/brain. General design of seminar is intended to be a pro and cons discussion format.
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2. Levels/layers of analysis/abstraction are needed to do any interdisciplinary work in this area, e.g., see: "[A]lgorithmic models can be used to interpret brain imaging data, and brain imaging data can be used to select among competing models." https://www.ncbi.nlm.nih.gov/pubmed/25823496
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3. Finally, I would argue understanding what CogSci is, why it exists, what it tries to do and why, to put it really concretely, the figure at the wikipedia page has both "neuroscience" and "artificial intelligence" as nodes. https://en.wikipedia.org/wiki/Cognitive_science …
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Completely agree! First seminar of the whole course is going to deal with CogSci (exactly: what it is and what it tries to do)
End of conversation
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