(1) Reaction time (RT) studies give only a partial picture of
language processing, hence it may be risky to use the output of the
computational model to inspire neurophysiological investigations
instead of seeking further neurophysiological data to adjust the RT
based theory. (2) There is neurophysiological evidence for differences
in the cortical representation of different word categories; this
could be integrated into a future version of the Levelt model. (3) EEG/MEG coherence analysis allows the monitoring of synchronous
electrical activity in large groups of neurons in the cortex; this is
especially interesting for activation based network models.