This approach allows us to regenerate the outgoing connections at each event, thereby avoiding the storage of the connectivity. Thus, in order to preserve the accuracy of the integration method, a spike detection algorithm is developed that accurately determines spike times. As the HH model is a continuous model, there is no explicit spike events. In this paper, we propose a hybrid simulation scheme that combines time-stepping second-order integration of Hodgkin-Huxley (HH) type neurons with event-driven updating of the synaptic currents. Many works are dedicated to design better models or to develop more efficient simulation schemes. Accurate simulations of brain structures is a major problem in neuroscience.
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