When spike activity of two or more individual neurons is simultaneously recorded, it is possible to detect various types of neuronal connections to and between the observed neurons by making appropriate statistical analysis of the data. Such methods are reviewed. This approach is particularly useful in seeking changes of neuronal connectivity associated with behavioral plasticity. Examples from experiments with Aplysia and crayfish are given.