Introduction to Computational Neuroscience

BIO505
4
MTH101 ,MTH102
Open

This course is in two parts. In the first part that constitute the 2/3 of the course, students will be introduced to the human nerve cell and the analytical mathematical models used to describe the a) mechanism of generation and propagation of action potential, b) the excitability and bursting of neurons. In the second part of the course, students will be introduced the basics of functional and structural magnetic resonance imaging (MRI), fMRI experiment design and fMRI data analysis.

At the end of this course students will be able to build and analyze simple neuronal systems and provide biological meaning to the mathematical models of neurons.

Winter

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