This article, heavily inspired by Robert Sapolsky, details one way of thinking about the brain as a dynamic, computational engine — from which arbitrary complexity can arise. Thinking about cognition as a Complex Adaptive Systems (CAS), or decentralized networks, can yield insight into some of what makes us human.

Here’s a basic neuroscience/neuroanatomy primer to set the framework for this type of thinking.

The goal of this article is to think about the brain as a computational system, from the perspective of science & engineering.

#machine-learning #artificial-intelligence #biology #engineering #neuroscience