## Courses

I am teaching two neuroscience courses at upper undergraduate and graduate level in Spring and Fall semesters as a part of initiative to start a neuroscience curriculum at Electrical Engineering Department in Sharif University of Technology.

**Foundations of Systems and Computational Neuroscience**

This is an upper-level undergraduate course on biological and computational principles in neuroscience. Students will learn the basic physiology of neurons and neural circuits, neuroanatomy and its relation to behavior in primate nervous system. For each topic they also learn the mathematical models of neurons, circuits and behavior.

Prerequisites: probability theory, signals and systems, differential equations, electronic circuits I

References:

- Principles of Neural Science, Fifth Edition, Kandel et al
- Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems, Dayan and Abbott

**Advance Topics and Computational Neuroscience**

This is an graduate level course on biological and computational principles in neuroscience. As a sequel of the SCN I, the students will get a more focused review of multiple neural systems ranging from perceptual and motor domain to decision making, motivation and attention.

Prerequisites: Systems and Computational Neuroscience I

References:

- Principles of Neural Science, Fifth Edition, Kandel et al
- Neuroscience: Exploring the Brain 4th Edition, Bear et al
- Fundamentals of Computational Neuroscience 2nd Edition, Trappenberg
- Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems, Dayan and Abbott