Jd. Cohen et al., A COMPUTATIONAL APPROACH TO PREFRONTAL CORTEX, COGNITIVE CONTROL AND SCHIZOPHRENIA - RECENT DEVELOPMENTS AND CURRENT CHALLENGES, Philosophical transactions-Royal Society of London. Biological sciences, 351(1346), 1996, pp. 1515-1527
In this chapter we consider the mechanisms involved in cognitive contr
ol - from both a computational and a neurobiological perspective - and
how these might be impaired in schizophrenia. By 'control', we mean t
he ability of the cognitive system to flexibly adapt its behaviour to
the demands of particular tasks, favouring the processing of task-rele
vant information over other sources of competing information, and medi
ating task-relevant behaviour over habitual, or otherwise prepotent re
sponses. There is a large body of evidence to suggest that the prefron
tal cortex (PFC) plays a critical role in cognitive control. In previo
us work, we have used a computational framework to understand and deve
lop explicit models of this function of PFC, and its impairment in sch
izophrenia. This work has lead to the hypothesis that PFC houses a mec
hanism for representing and maintaining context information. We have d
emonstrated that this mechanism can account for the behavioural inhibi
tion and active memory functions commonly ascribed to PFC, and for hum
an performance in simple attention, language and memory tasks that dra
w upon these functions for cognitive control. Furthermore, we have use
d our models to simulate detailed patterns of cognitive deficit observ
ed in schizophrenia, an illness associated with marked disturbances in
cognitive control, and well established deficits of PFC. Here, we rev
iew results of recent empirical studies that test predictions made by
our models regarding schizophrenic performance in tasks designed speci
fically to probe the processing of context. These results showed selec
tive schizophrenic deficits in tasks conditions that placed the greate
st demands on memory and inhibition, both of which we have argued rely
on the processing of context. Furthermore, we observed predicted patt
erns of deterioration in first episode vs multi-episode patients. We a
lso discuss recent developments in our computational work, that have l
ed to refinements of the models that allow us to simulate more detaile
d aspects of task performance, such as reaction time data and manipula
tions of task parameters such as interstimulus delay. These refined mo
dels make several provocative new predictions, including conditions in
which schizophrenics and control subjects are expected to show simila
r reaction time performance, and we provide preliminary data in suppor
t of these predictions. These successes notwithstanding, our theory of
PFC function and its impairment in schizophrenia is still in an early
stage of development. We conclude by presenting some of the challenge
s to the theory in its current form, and new directions that we have b
egun to take to meet these challenges. In particular, we focus on refi
nements concerning the mechanisms underlying active maintenance of rep
resentations within PFC, and the characteristics of these representati
ons that allow them to support the flexibility of cognitive control ex
hibited by normal human behaviour. Taken in tote, we believe that this
work illustrates the value of a computational approach for understand
ing the mechanisms responsible for cognitive control, at both the neur
al and psychological levels, and the specific manner in which they bre
ak down in schizophrenia.