The activity of neuronal networks can exhibit periods of bursting, the properties of which remain unclear. To study the bursting dynamics of a network , we develop a new stochastic model based on synaptic properties that also accounts for afterhyperpolarization , which shapes the end of a burst.
<meaning-changed> The activity of neuronal networks can exhibit periods of bursting, the properties of which remain unclear. To study the bursting dynamics of a network , we develop a new stochastic model based on synaptic properties that also accounts for afterhyperpolarization , which shapes the end of a burst.
The activity of neuronal networks can alternate between bursts and interburst intervals (IBI), with heterogeneous length distributions. As this dynamic remains unclear, especially the durations of each epoch , we develop a new stochastic model based on synaptic properties that also accounts for afterhyperpolarization , which shapes the end of a burst.