Computational Neurobiology

Michele Giugliano

Amount of frontal teaching:
15 hours


The aim of the Computational Neurobiology course is to offer an introduction to the theoretical and computational research tools, complementing experimental techniques for the investigation of neurobiological systems. The course focuses on the biophysics of neuronal excitability and on how to mathematically describe and computer simulate the electrical properties of single cells and of networks of neurons. The course covers the following research topics:


- the Hodgkin-Huxley model of excitability,

- the simplified Integrate-and-Fire model of synaptic integration and neuronal firing,

- the chemical and electrical synaptic transmission,

- the mean-field approximation for large neuronal populations,

- the numerical methods for simulating small and large neuronal systems.


Teaching materials and prerequisites are available to the students here.


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