Curriculum Vitae
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Education
Project: State-of-the-art Bayesian inference on the virtual brain models for brain diseases;
Deep neural density estimators for flexible and fast simulated-based inference, and
adaptive Monte Carlo for principled and automatic statistical estimation.
Supervisor: Prof. Viktor Jirsa
Thesis: Analytical and numerical studies of thalamo-cortical neural population models during general anesthesia.
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Supervisor: Dr. Axel Hutt
My doctoral thesis aimed to investigate the mechanisms underlying the observed specific changes in EEG patterns during propofol-induced anesthesia. I worked on thalamo-cortical neural mass models to link the effects of anesthetic agents at microscopic single neuron level to the macroscopic-scale observables such as EEG signals. In the second part, I worked on optimization algorithms to estimate model parameters by fitting model spectral power to experimental data.
Thesis: Effect of the duration of the synaptic activity on a neuronal loop with delayed feedback.
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Supervisor: Dr. Alireza Valizadeh