Computational studies of the development of functionally specialized neural modules

Three hypotheses about the activity-dependent development of functionally specialized neural modules are discussed in this review. These hypotheses state that: (1) a combination of structure function correspondences plus the use of competition between neural modules leads to functional specializations; (2) parcellation is due to a combination of neural selectionism, the idea that learning results from a stabilization of some neural connections and the elimination of others, and a locality constraint, which states that connections between nearby neurons are more easily stabilized than those between distant neurons; and (3) a temporal and spatial modulation of plasticity can induce higher functional development in later-developing parts of the nervous system relative to earlier-developing parts. All three hypotheses have been implemented and evaluated in computational models. Limitations of current neuroscientific methodologies mean that computer simulation provides one of the only tools available for evaluating and refining our large-scale theories of the development of functionally specialized neural modules.