Description

Brain Theorizing for the Reverse Engineer

Understanding the brain has been characterized as a problem in reverse engineering in that we have an enormous amount of data available and the problem is to assemble it into a functional whole. Rather than the experimental biologist’s dominantly bottom-up approach, reverse engineering takes a  computational perspective starting from functional problems brain might be solving. I will illustrate the approach with three examples:

  • The limbic system’s coding of the sense of self,
  • The basal ganglia’s role in Deep Learning,
  • The thalamus’s role in (visual ) routines.

If you would like to give one of the weekly seminars on the Brain & Computation program, please fill out the survey at https://goo.gl/forms/zRlEuwjzdP6MsB6I2

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