Computationl neurodynamics Exercise Sheet 4: Dynamical complexity Group ===== Alex Baramilis Lukasz Koprowski Antoine Montavon Agata Mosinska Throughout the code (in global connectivity matrix) neurons 1:800 are excitatory, 801:1000 are inhibitory. We used provided scripts to calculate Small World Index and to simulate Izhikevich's neuron model. Question 1 ========== Script used to generate the data: mainEx1.m MatLab plots for this question are placed in folder: ./Figures1/ p = 0.5 a) 1.fig - Connectivity matrix b) 2.fig - Excitatory and Inhibitory neuron firings c) 3.fig - Mean firing rate for excitatory hubs p = 0.4 a) 4.fig - Connectivity matrix b) 5.fig - Excitatory and Inhibitory neuron firings c) 6.fig - Mean firing rate for excitatory hubs p = 0.3 a) 7.fig - Connectivity matrix b) 8.fig - Excitatory and Inhibitory neuron firings c) 9.fig - Mean firing rate for excitatory hubs p = 0.2 a) 10.fig - Connectivity matrix b) 11.fig - Excitatory and Inhibitory neuron firings c) 12.fig - Mean firing rate for excitatory hubs p = 0.1 a) 13.fig - Connectivity matrix b) 14.fig - Excitatory and Inhibitory neuron firings c) 15.fig - Mean firing rate for excitatory hubs p = 0 a) 16.fig - Connectivity matrix b) 17.fig - Excitatory and Inhibitory neuron firings c) 18.fig - Mean firing rate for excitatory hubs Question 2 ========== Script used to generate the data: mainEx2.m MatLab plots for this question are placed in folder: ./Figures2/ 1.fig - Dependence of neural complexity on small-world index 2.fig - Dependence of neural complexity on rewiring probability