This paper describes some r e c e n t d e v e l o p m e n t s i n language processing involving computational models which more closely resemble the brain in both structure and function. These models employ a large number of interconnected parallel computational units which communicate via weighted levels of excitation and inhibition. A specific model is described which uses this approach to process some fragments of connected discourse.