  The formation of connections between neural cells is emerging essentially
from an unsupervised learning process. For instance, during the development of
the primary visual cortex of mammals (V1), we observe the emergence of cells
selective to localized and oriented features. This leads to the development of
a rough contour-based representation of the retinal image in area V1. We
propose a biological model of the formation of this representation along the
thalamo-cortical pathway. To achieve this goal, we replicated the Multi-Layer
Convolutional Sparse Coding (ML-CSC) algorithm developed by Michael Elad's
group.
