We implement and study a computational model of Stevens' theory of the
pathogenesis of schizophrenia. This theory hypothesizes that the onse
t of schizophrenia is associated with reactive synaptic regeneration i
n brain regions that receive degenerating temporal lobe projections. C
oncentrating on one such area, the frontal cortex, we model a frontal
module as an associative memory neural network whose input synapses re
present incoming temporal projections. Modeling Stevens' hypothesized
pathological synaptic changes in this framework results in adverse sid
e effects similar to hallucinations and delusions seen in schizophreni
a: spontaneous, stimulus-independent retrieval of stored memories focu
sed on just a few of the stored patterns. These could account for the
delusions and hallucinations that occur in schizophrenia without any a
pparent external trigger and for their tendency to concentrate on a fe
w central cognitive and perceptual themes. The model explains why the
positive symptoms of schizophrenia tend to wane as the disease progres
ses, why delayed therapeutic intervention leads to a much slower respo
nse, and why delusions and hallucinations may persist for a long time
when they do occur.