1. A method for automatically analyzing neural activity within a target neural region comprising: applying electrical stimulation to the target neural region at an initial current level that approximates a typical threshold-Neural Response Telemetry (NRT) level; recording an NRT measurement of neural activity within the target neural region in response to the stimulation; and utilizing a machine-learned expert system configured with a decision tree that includes at least two levels of nodes which consider parameters relating to the NRT measurement, respectively, so as to predict, based on one or more features of the neural activity, whether the NRT measurement includes a neural response or does not include a neural response, the step of utilizing including: evaluating at least two successive ones of the levels of nodes in order to predict whether the NRT measurement includes a neural response or does not include a neural response, wherein at least one of the evaluated levels includes a node which considers a correlation coefficient relating the NRT measurement to a predetermined value.