Modeling cortical networks
A simple model of a microcolumn is developed. Each neuron is taken as a particular oscillator that is strongly connected to several others in a specific network. To model neuronal and network activities non-linear dynamical systems are used. Through stability and bifurcation analysis the dependence of neuronal activities with parameters is studied. A neurophysiological-based heterogeneity among different oscillators could be guarantee selecting different values for parameters of each cell. It is shown that with this simple approach more complex and varied temporal patterns are obtained.
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