Department of Electrical & Electronics Engineering
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Browsing Department of Electrical & Electronics Engineering by Author "AL-AKAM, Mohammed"
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Item MODELING SENSORY NEURONS FROM POISSON SPIKING PROCESS DATA(2022-11-17) AL-AKAM, Mohammed; DORUK, Reşat ÖzgürIn this thesis, we introduce computational and theoretical work based on the estimation of the firing rate of an excitatory and inhibitory neuron model. Those firing rates had been recorded from realistic stimulus-response data where a previous study provides those stimulus and response records where this study performed a measurement from a nature (H1 neurons of the order Diptera flies). Maximum-likelihood was the method used in this thesis to conduct the parameter estimation of the neural network dynamics. This record had been segmented to increase the statistical content of information. since we have a stimulus-response data recording of 20 minutes, this record was segmented, and each individual segment is composed of each other. Due to the true values of the parameters for the neuron model cannot being measured which made those true values unknown as the synthetic data will not be used by the Neuron dynamics in this research. Based on this fact, we used two samples Kolmogorov-Smirnov test. where this test was applied to make a comparison between two recorded inter-spike intervals in addition to model responses. The estimation and analysis of outcomes will be presented graphically and also will be listed in a tabular form. Also, a comparison with previous research is made where this research used a modified Fitzhugh-Nagumo model.