Understanding Computational Models in Neuroscience with Dr. Mazviita Chirimuuta (Part 3/4) 🧠

Part 3 of 4 of Dr. Mazviita Chirimuuta's series about #Neuroscience explanations from A Beginner's Guide To Neural Mechanisms—a pair of 5-minute explainers and six sets of deeper dives made via collaboration between @neuralmechanisms942 and @PhilosophyOfBrains with generous funding from the @templetonworldcharityfound4808 in partnership with @dukeuniversity and those listed in the video credits. To learn more see https://www.neuralmechanisms.org/videolectures.html.

SUGGESTED READING
Bechtel, W. (2008). Mental Mechanisms: Philosophical Perspectives on Cognitive Neuroscience. London: Routledge. https://amzn.to/3O8VjlL
Chirimuuta, M. (2014). “Minimal Models and Canonical Neural Computations: The Distinctness of Computational Explanation in Neuroscience”, Synthese 191: 127-53. https://doi.org/10.1007/s11229-013-0369-y
Craver, C. (2007). Explaining the Brain. Oxford: Oxford University Press. https://amzn.to/3O6XMwR
Egan, F. (2017). “Function-theoretic explanation and the search for neural mechanisms. In D.M. Kaplan (ed.) Explanation and integration in mind and brain science. Oxford: Oxford University Press. https://amzn.to/3DsNvWW
Kaplan, D.M. (2011), “Explanation and Description in Computational Neuroscience.” Synthese 183: 339-73. https://doi.org/10.1007/s11229-011-9970-0
Piccinini, G. and Craver, C. (2011). “Integrating psychology and neuroscience: functional analyses as mechanism sketches.” Synthese 183:283-311. https://doi.org/10.1007/s11229-011-9898-4
Potochnik, A. (2017). Idealization and the Aims of Science. Chicago IL: Chicago University Press. https://amzn.to/3q4sYF5
Weiskopf, D. (2011). “Models and Mechanisms in Psychological Explanation.” Synthese 183: 313-38. https://doi.org/10.1007/s11229-011-9958-9

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