Most simple and complex cells in the cat striate cortex are both orientatio
n and direction selective. In this article we use single-cell learning rule
s to develop both orientation and direction selectivity in a natural scene
environment. We show that a simple principal component analysis rule is ina
dequate for developing direction selectivity, but that the BCM rule as well
as similar higher-order rules can. We also demonstrate that the convergenc
e of lagged and nonlagged cells depends on the velocity of motion in the en
vironment, and that strobe rearing disrupts this convergence, resulting in
a loss of direction selectivity.