We analyze the performance of neural code-division multiple-access (CDMA) multiuser detectors. Formal correspondence between the CDMA multiuser detection problem and recurrent neural networks such as the Hopfield neural network and the Boltzmann machines is established, based on which the replica analysis on the bit-error rate of the neural multiuser detectors is presented. Detection dynamics of the neural multiuser detectors is also analyzed based on statistical neurodynamics.