  Understanding neurocognitive computations will require not just localizing
cognitive information distributed throughout the brain but also determining how
that information got there. We review recent advances in linking empirical and
simulated brain network organization with cognitive information processing.
Building on these advances, we offer a new framework for understanding the role
of connectivity in cognition - network coding (encoding/decoding) models. These
models utilize connectivity to specify the transfer of information via neural
activity flow processes, successfully predicting the formation of cognitive
representations in empirical neural data. The success of these models supports
the possibility that localized neural functions mechanistically emerge (are
computed) from distributed activity flow processes that are specified primarily
by connectivity patterns.
