Section: Application Domains

Neuroscience

Machine learning methods may be used for at least two means in neurosciences:

1. as in any other (experimental) scientific domain, the machine learning methods relying heavily on statistics, they may be used to analyse experimental data,

2. dealing with induction learning, that is the ability to generalize from facts which is an ability that is considered to be one of the basic components of “intelligence”, machine learning may be considered as a model of learning in living beings. In particular, the temporal difference methods for reinforcement learning has strong ties with various concepts of psychology (Thorndike's law of effect, and the Rescorla-Wagner law to name the two most well-known).