Study on Synaptic Model of Temporal Pattern Stimulation

摘要

This study is to seek a mathematical synaptic model for temporal coding between parallel fibers and a cerebellar Purkinje cell. Though mean input stimuli frequency is an important factor to determine synaptic plasticity, it seems that temporal pattern of input stimuli is also a major determining index. We have investigated a learning rule where one series of input can change synaptic plasticity. Experiments have been performed with the patch-clamp technique using cerebellar slices of rat, and the results indicated that different temporal patterns evoke different responses. The proposed synaptic model makes it possible to explain the phenomena of both long-term potentiation (LTP) [1] and long-term depression (LTD) [2].