Numerical Simulation Of The Retina Network With Analysis

Vision system is the most important feel pathway of human and higher animals, more than 70% of outside information into the brain by the vision system. The retina is the first stage function structure of vision system, however, the neural network is extremely complicated, it is a common means to study the retinal vertical path.In this paper, we establish the network of the retinal vertical path compartment model in order to study firing characteristics of two types of neurons in the retinal network. Firstly, we study electrophysiological properties of rod neuron in the retinal network, mainly discussing the role of hyperpolarization-activated in the process of membrane potential and firing characteristics of rod neuron in the external stimulus. Secondly, we study electrophysiological properties of ganglion neuron in the retinal network, mainly discussing the role of calcium-dependent potassium channels in the process of membrane potential and the effect of the external stimulus amplitude and frequency on the ganglion neurons firing pattern. h+Finally, we study the connection of the membrane potential of ganglion neuron′interspike interval with external stimulation amplitude and frequency.Through the numerical simulation results, we can get this conclusion: on the one hand, hyperpolarization-activated contained rod neuron in the network model can delay the time to peak of the voltage response, on the other hand, the presence of calcium-dependent potassium channels can significantly reduce the firing frequency of ganglion neuron. h+...