Abstract
Depending on their activities, synapses in neural systems are dynamical in relatively short time scales. This effect is known as short-term plasticity (STP), which appears as short-term facilitation (STF) or short-term depression (STD). In this paper, we describe the effects of STD and STF on the intrinsic phases and plateau states. Consequently, we find that STD enhances the tracking performance in continuous attractor neural networks, and provides a mechanism for an iconic memory to shut off naturally. On the other hand, STF improves the precision in population decoding.
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