We explore the hypothesis that linear cortical neurons are concerned w
ith building a particular type of representation of the visual world-o
ne that not only preserves the information and the efficiency achieved
by the retina, but in addition preserves spatial relationships in the
input-both in the plane of vision and in the depth dimension. Focusin
g on the linear cortical cells, we classify all transforms having thes
e properties. They are given by representations of the scaling and tra
nslation group and turn out to be labeled by rational numbers '(p+q)/p
' (p, q integers). Any given (p,q) predicts a set of receptive fields
that comes at different spatial locations and scales (sizes) with a ba
ndwidth of log(2)[(p+q)/p] octaves and, most interestingly, with a div
ersity of 'q' cell varieties. The bandwidth affects the trade-off betw
een preservation of planar and depth relations and, we think, should b
e selected to match structures in natural scenes. For bandwidths betwe
en 1 and 2 octaves, which are the ones we feel provide the best matchi
ng, we find for each scale a minimum of two distinct cell types that r
eside next to each other and in phase quadrature, that is, differ by 9
0 degrees in the phases of their receptive fields, as are found in the
cortex, they resemble the ''even-symmetric'' and ''odd-symmetric'' si
mple cells in special cases. An interesting consequence of the represe
ntations presented here is that the pattern of activation in the cells
in response to a translation or scaling of an object remains the same
but merely shifts its locus from one group of cells to another. This
work also provides a new understanding of color coding changes from th
e retina to the cortex.