The Roles of Supervised Machine Learning in Systems Neuroscience

We describe four primary roles of ML within neuroscience: 1) creating solutions to engineering problems, 2) identifying predictive variables, 3) setting benchmarks for simple models of the brain, and 4) serving itself as a model for the brain. The breadth and ease of its applicability suggests that machine learning should be in the toolbox of most systems neuroscientists.

Source: Progress in Neurobiology - February 8, 2019 Category: Neuroscience Source Type: research