
On the philosophy of simplification in computational neuroscience - with Mazviita Chirimuuta and Terrence Sejnowski - #29
Theoretical Neuroscience Podcast
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Modeling the Brain: Complexity vs. Simplification
This chapter explores the challenges and nuances of modeling the brain, comparing simplistic linear models to more advanced techniques like independent component analysis. It emphasizes the balance between detailed biological realism and practical applicability in cognitive functions, advocating for comprehensive approaches that integrate various methodologies. Additionally, the chapter critiques the common metaphor of the brain as a computer and highlights the philosophical implications of understanding brain function and perception.
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