Making sense of the data acquired via experiments is fundamental in many fields of sciences. This course is designed for students/researchers who want to gain practical experience with data analysis based on Bayesian inference. Coursework involves practical demonstrations and discussion of solutions for data analysis problems. No advanced knowledge of statistics and probability is required.

The course covers the physiology of nerve cells, from the single cell through the neuronal network to the systemic level. The focus is on molecular and cellular mechanisms – synaptic transmission, signal transduction, gene expression, synaptic plasticity.