Multi-sequence memory with dynamic synapses and controllable steady-state period

Sequential information processing, for instance the sequence memory, plays an important role on many functions of brain. In the workings of the brain, the steady-state period is alterable. But in the existing sequence memory models using hetero-associations, the steady-state period is changeless in the sequence recall. In this paper, multi-sequence memory with controllable steady-state period is proposed. By introducing a novel exponential kernel sampling function and the sampling interval parameter, the steady-state period can be controlled, and the steady-state time steps is equal to the sampling interval parameter. Owing to introducing dynamic synapses into the sequence memory, we find that the sequence storage capacity can be enlarged.