A new constructing method of cerebellum model applying to DIVA model

DIVA (directions into velocities of articulators) is a mathematical model of the processes behind speech acquisition and production, supposed to achieve a functional representation of areas in the brain that are involved in speech production and speech perception. The model is an adaptive neural network that learns to control movements of a simulated vocal tract in order to produce words, syllables, or phonemes. Owing to the especial structure and action of cerebellum, some control frameworks of simulating cerebellum are introduced into the DIVA model that is widely used at present. Thereby, the problem about the timing of delays in sensory feedback and the conduction velocity problem bringing forth transmission delays in neural systems are in a way improved. But, owing to the structure of cerebellum model, these improvements are so imperfect to not fully meet the requirement of the DIVA model. The paper presents a new constructing method of cerebellum model, based on RSL (recurrent slide and latch) cerebellum model.