We present two related computational models of ocular dominance column
formation. Both address nervous system plasticity in terms of sprouti
ng and retraction of axonal processes rather than changes in synaptic
strength implied by synapse-specific Hebbian models. We employ statist
ical mechanics to simulate changes in the pattern of network connectiv
ity. Our formalism uses the concept of an energy function, which we in
terpret as related to the levels of target-generated neurotrophins for
which afferents compete. In contrast, synapse-specific Hebbian models
impose synaptic normalization, for which there is little experimental
evidence, in order to induce competition. Our models make many predic
tions which require experimental investigation. We suggest that the ab
sence of monocular deprivation effects in the optic tectum may be due
to a tendency of amphibian retinal ganglion cells to preserve the comp
lexity of their terminal arbors. One model raises the possibility that
boundaries separating columns in the mammalian cortex are poorly inne
rvated if they have been formed by complete but asynchronous retinal a
ctivation. Both models exhibit a phase transition, suggesting a discon
tinuity in the transition from a binocular cortex to one possessing oc
ular dominance columns. Finally, our other model could account for the
perpendicularity of ocular dominance columns to the boundary of the p
rimary visual cortex while admitting of less ordered central patterns.