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Modeling Neuronal Dynamics with PPLANE: A Simulation of Voltage and Conductance

This PPLANE simulation models the dynamics of voltage (v) and conductance (w) in a neuronal setup. The system is defined by two differential equations representing the change in voltage and conductance over time. Parameters such as gca and phi are set to specific values for analysis. The simulation includes 20 points to visualize the vector field, allowing insight into the system's behavior under different conditions. By adjusting these parameters, users can explore the stability and interactions of neuronal dynamics effectively.

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Modeling Neuronal Dynamics with PPLANE: A Simulation of Voltage and Conductance

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  1. %% PPLANE file %% H.name = 'ML.pps'; H.xvar = 'v'; H.yvar = 'w'; H.xder = '(1/20)* (90-gca*0.5*(1+tanh((v+1.2)/18))*(v-120)-8*w*(v+84)-2*(v+60))'; H.yder = ' phi*(0.5*(1+tanh((v-2)/30))-w)*cosh((v-2)/60)'; H.pname = {'gca','','phi','','',''}; H.pval = {'4.4','','0.04','','',''}; H.fieldtype = 'arrows'; H.npts = 20; H.wind = [-60 40 0 0.6];

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