Behavioral neuroscience in relation to systems neuroscience focuses on representational dissimilarity matrices (RDMs), which categorizes brain activity patterns and compares them across different conditions, such as the dissimilar level of brain activity observing an animal in comparison to an inanimate object.
Computational models provide a base form of brain-activity level, which is typically represented by the firing of a single neuron.
The three major branches of systems neuroscience work together to provide the most accurate information about brain activity as neuroimaging allows in its current state.
While there can always be improvements to brain-activity measurements, typical imaging studies through electrophysiology can already provide massive amounts of information about the systems of an organism and how they may work intertwined with one another.
Although systems neuroscience is generally observed in relation to a human’s level of functioning, many studies have been conducted on drosophila, or the small fruit fly, as it is considered to be easier due to the simpler brain structure and more controllable genetic and environmental factors from an experimental standpoint.