Theoretical Neuroscience Course
Tuesdays & Fridays
4 October - 13 December 2002 [11:00-13:00]
4th Floor Seminar Room, Alexandra House, Queen Square
Outline: Theoretical neuroscience provides
a quantitative basis for describing what nervous systems do, determining how they
function, and for uncovering the general principles by which they operate. This course
introduces the basic mathematical and computational methods of theoretical neuroscience
and presents applications in a variety of areas including vision, sensory-motor
integration, development, learning, and memory.
The course will roughly follow the set text (and associated
problem sets): Dayan, P & Abbott, LF (2001). Theoretical Neuroscience. Cambridge, MA:
MIT Press http://people.brandeis.edu/~abbott/book/
It is likely that there will be additional reading.
Topics:
- Neural encoding: Firing rates, spike statistics and
reverse correlation
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