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2 I It also helps understand the following two papers: Libby et al  and Kobayashi et al  which you are
expected to read (but you are by no means expected to understand these fully). Output: read them.
3 I These reviews are reasonably easy read and also combine to give an introduction to Bayesian cognitive
science more generally: a) Probabilistic brains: knowns and unknowns. Alexandre Pouget, Jeﬀrey Beck,
Wei Ji Ma and Peter Latham, Nature Neuroscience, 2013. b) Statistically optimal perception and learning:
from behavior to neural representations. J´zsef Fiser, Pietro Berkes, Gerg˝ Orb´n and M´t´ Lengyel,
Trends in Cognitive Sciences, 2010. Please read them (they are pretty interesting). Output: read them.
4 I Find and understand a brief proof of Landauer’s principle (if you can’t ﬁnd one by the time we hit control
theory ask me). Output: half a page or less.
5 I Gibbs sampling is called Glauber dynamics in the physics literature (go and have a very brief read about
Glauber dynamics). Output: Just a few sentences.
6 C Read the introduction to Sontag  and, in particular, convince yourself of the role of PID control in
stabilizing an inverted pendulum. Output: A page or less of explanation of this system.
7 C “For the linear system described to be controllable we require the matrix with columns Ai b where
i = 0, .., n − 1 (and is an expone...
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This document was uploaded on 03/01/2014 for the course EE 208 at Imperial College.
- Spring '14