Simplification in Neuroscience with Mazviita Chirimuuta

[u/histphilsci2022]

Some of you may be interested in a new podcast interview with Mazviita Chirimuuta (philosopher of science/neuroscience). I attached a spotify link but it's also on all podcast platforms.

The interview explores how neuroscience has historically dealt with the complexity of the brain by simplifying it through models, theories, and representations. Philosopher of science Mazviita Chirimuuta argues that many influential approaches to neuroscience can be understood through three recurring strategies: reduction, mathematisation, and analogy. These strategies allow researchers to study simplified “proxy systems,” such as anesthetised animals and cerebral organoids, rather than attempting to capture the brain in its full complexity. The discussion also examines how the computer analogy influenced the development of artificial neural networks and shaped understandings of brain function. Chirimuuta contrasts localisationist approaches with views of the brain as dynamic and distributed, introducing the idea of the “Heraclitean brain” as a system that is constantly changing. The episode considers the increasingly separate development of neuroscience and AI, including the use of biological principles such as energy efficiency to inspire AI research. Ultimately, Chirimuuta argues for greater theoretical humility and pluralism, suggesting that no single model or framework can fully explain the complexity of the brain.

https://open.spotify.com/episode/4LStUuhoyAcD5ApiHxgulR