Computational neurolinguistics (CN) is an approach to computational l i n g u i s t i c s which includes neurally-motivated constraints in the design of models of natural language processing. Furthermore, the knowledge representations included in such models must be supported with documented behaviorial e v ~ c e , normal and pathological. This paper w i l l discuss the contribution of CN models to ~the understanding of l i n g u i s t i c "competence" within recent research efforts to adapt HOPE (Gigley 1981; 1982a; 1982b; 1982c; 1983a), an implemented CN.
