Despite extensive theoretical work on biologically plausible learning rules, it has been difficult to obtain clear evidence about whether and how such rules are implemented in the brain. We consider biologically plausible supervised- and reinforcement-learning rules and ask whether changes in network activity during learning can be used to distinguish which learning rule is being used. In particular, we note that supervised learning requires a credit-assignment model estimating the mapping from…