Statistical bounds: Fisher information and the Cramér Rao bound
Population coding. Narrow vs wide tuning curves.
Noise correlations: beneficial or detrimental?
Maximum likelihood and Bayesian decoding
The efficient coding hypothesis and principles of efficient sensory coding
The efficient coding hypothesis
Introduction: Barlow's efficient coding hypothesis
Information theory: Shannon entropy, differential entropy
Efficient coding in a single neuron (Laughlin)
Laughlin's theory reformulated using mutual information
Principles of efficient sensory coding in populations of neurons
Brief review of the visual system
Multidimensional Gaussian stimuli: linear encoding and principal component analysis
Scaling laws of natural images and retinal receptive fields (Atick and Redlich)
Independent component analysis, receptive fields in the primary visual cortex