However, the two branches greatly disagree upon which sorts of experimental data should be used to construct explanatory models of cognitive phenomena.
Connectionists rely upon behavioral evidence to construct models to explain cognitive phenomena, whereas computational neuroscience leverages neuroanatomical and neurophysiological information to construct mathematical models that explain cognition.
A rule in this sense is simply an instruction for executing a manipulation on the current state of the variable, in order to produce a specified output.
A computing system is a mechanism whose components must be functionally organized to process the information in accordance with the established set of rules.
Artificial neural networks (ANN) is a subfield of the research area machine learning.