Babble Model Parameter Variations Sounds

These sounds were produced by a computational spiking neural network model of learning to produce syllabic vocalizations (i.e. canonical babbling) in infancy. The vocalizations produced by each simulation from each parameter combination were sampled at regular intervals. For each simulation, these samples were concatenated into a single sound file that can provide an auditory sense of how the simulation's vocalizations changed over time. The best parameter combination is 200 neurons (200n) and 2 muscle scaling (2n).