center-surround receptive fields of retinal ganglion cells (6:52)
Quiz after "center-surround receptive field of retinal ganglion cells"
building an example receptive field by summing weighted Fourier waves (4:09)
quiz after "Building an example receptive field by summing weighted Fourier waves"
mapping the shape of a receptive field, and measuring its contrast sensitivity function (5:40)
quiz after lesson "mapping the shape of a receptive field, and measuring its contrast sensitivity function"
use Fourier transform to link the shape of the receptive field of a neuron with its contrast sensitivity function (7:46)
quiz after lesson "use Fourier transform to link the shape of the receptive field of a neuron with its contrast sensitivity function"
contrast sensitivity function for a difference-of-gaussians receptive field (3:11)
quiz after lesson "contrast sensitivity function for a difference-of-gaussians receptive field"
Information theory: bits and entropy
quiz for "Information theory: bits and entropy"
Information theory: entropy, uncertainty, and surprise
quiz for "Information theory: entropy, uncertainty, and surprise"
information theory: information channel and transmission
quiz for "information theory: information channel and transmission"
Information theory: mutual information
quiz for "Information theory: mutual information"
Entropy and mutual information in gaussian random variables
quiz for "Entropy and mutual information in gaussian random variables"
Information theory: information redundancy
quiz for "Information theory: information redundancy"
Information theory: redundancy, efficiency, and error correction
Survey at the end of chapter "Information theory: a very brief introduction"
Modeling neurons and neural circuits
Correlations and correlation matrices
Eigenvectors, eigenvalues, principal components, and decorrelation
Image filtering, receptive fields, Fourier transforms, and image power spectrum
Information bits, correlations, redundancy, principal components
