"Your Brain is Like a Computer: Function, Analogy, Simplification", Mazviita Chirimuuta (Phil, Pittsburgh) — Hosted by Susanna Schellenberg
Tuesday, December 04, 2018, 01:00pm - 02:30pm
Busch Campus, Psych 101
The relationship between brain and computer is a perennial theme in theoretical neuroscience, but it has received relatively little attention in the philosophy of neuroscience. This paper argues that much of the popularity of the brain-computer comparison (e.g. circuit models of neurons and brain areas since McCulloch and Pitts ) can be explained by their utility as ways of simplifying the brain. More specifically, by justifying a sharp distinction between aspects of neural anatomy and physiology that serve information-processing, and those that are ‘mere metabolic support,’ the computational framework provides a means of abstracting away from the complexities of cellular neurobiology, as those details come to be classified as irrelevant to the (computational) functions of the system. I argue that the relation between brain and computer should be understood as one of analogy, and consider the implications of this interpretation for notions of multiple realisation. I also consider some limitations of our understanding of the brain and cognition that may stem from the radical abstraction imposed by the computational framework.
- Prediction versus Understanding in Computationally Enhanced Neuroscience (PDF)
- Your Brain is Like a Computer: Function, Analogy, Simplification (PDF)