  In modern neuroscience, memory has been postulated to stored in neural
circuits as sequential spike train and Reverberation is one of the specific
example.Former research has made much progress on phenomenon description.
However, the mechanism of reverberation has been unclear yet.
  In this study, combining electrophysiological record and numerical
simulation, we confirmed a formerly unrealized neuron property that is
necessary for the burst generation in reverberation.
  Secondly, we find out the mechanism of sequential pattern generation which
clearly explained by network topology and asynchronous neurotransmitter
release. In addition, we also developed a pipeline that could design the
network fire in manually set order.
  Thirdly, we explored the dynamics of STDP learning and chased down the
effects of STDP Rule in reverberation. With these understandings, we developed
a STDP based learning rule which could drive the network to remember any
presupposed sequence.
  These results indicated that neuron circuit can remember malformation through
STDP rule. Those information are stored in synapse connections. By this way,
animals remember information as spike sequence pattern.
