Abstract
Various neural models have been proposed to account for the spiking behaviour of neurons when stimulated by sources, such as external current and synaptic stimulations. In the presented work, the time dependent synaptic vesicle release probability based on calcium current has been computed. This vesicle release probability has been used to design the modified leaky integrate and fire model, which was compared with traditional leaky integrate and fire model on the basis of goodness of fit with respect to the spike patterns of the Guinea pig cortical pyramidal neurons. It has been shown that modified leaky integrate and fire model is less error prone than the traditional leaky integrate and fire model during the fitting process.
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