NAIL087: Introduction to Computational Neuroscience I

Synopsis

This course represents an introduction into the subjects of computational neuroscience and cognitive psychology. The first semester focuses on basics of neural computation, including canonical models of neurons, architecture of cortical circuitry and its function and information processing in neural substrate. This basic knowledge is then built upon to introduce students to principles of cognition in several example systems, including vision and motor system. This course is taught by multiple experts in the respective sub-disciplines (see list of lectures below)

If you wish to gain better insight into latest developments in computational neuroscience consider joining also our Computational Neuroscience Seiminar NAIL128 running in parallel.

Requirements for passing the course

1. A computational modelling task.
2. Written test: Required reading: Bear book, available in library, chapters 1-5.

You will get a grade for each of the two tasks, and the final grade will be calculated as the arhitmetic mean of the three partial grades. Specific info on 1 and 2 will appear here later in the semester.

Lecture overview and slides

This semster the course is scheduled for Monday, from 15:40 till 18:50. The course will take place in S9.