Previous Article |
Table of Contents
| Next Article
Department of Psychology, University of Bristol, 8 Woodland Road,
Bristol BS8 1TN, United Kingdom
In performing many complex tasks, it is necessary to hold
information in temporary storage to complete the task. The system used
for this is referred to as working memory. Evidence for the need to
postulate separable memory systems is summarized, and one particular
model of working memory is described, together with its fractionation
into three principal subsystems. The model has proved durable and
useful and, with the development of electrophysiological and positive
emission tomography scanning measures, is proving to map readily onto
recent neuroanatomical developments.
Within cognitive psychology, the concept of working memory
represents a modification and extension of an earlier concept, short-term memory, a limited-capacity temporary memory store, typified
by the model proposed by Atkinson and Shiffrin (1). The concept of
working memory differs from that of short-term memory in two respects:
(i) it is assumed to involve a number of subsystems, rather
than a unitary module; and (ii) there is considerable
emphasis on its functional role in other cognitive tasks such as
learning, reasoning, and comprehension.
Unfortunately, the situation is further complicated by the fact that
the term working memory was adopted independently in two other research
areas. One use of the term stemmed initially from a learning paradigm
in which rats were placed in a radial arm maze, where they had to
retrieve food from each arm, remembering not to return to that arm
again, since it would now be devoid of food and would remain so until
the next test session, typically on another day (2). While this bears
some similarity to the term working memory in humans, in fact,
performance on this task in human subjects is likely to depend on
long-term memory rather than working memory.
A second use of the term comes from the computational modeling approach
developed by Newell and Simon (3), in which the term working memory is
used to refer to the component that holds what they term production
systems, an important part of the model. They make it clear, however,
that the working memory component of their model does not map in any
simple or direct way onto an equivalent component of human memory.
Within human experimental psychology, however, and for present
purposes, the term working memory is taken to apply to a limited capacity system that is capable of storing and manipulating information and that is assumed to be an integral part of the human memory system.
This interpretation of the concept that has proved widely applicable to
a broad range of subject and patient groups (4) and will be described
below.
How Many Kinds of Memory?
Although Hebb (5) speculated on the possible existence of two
kinds of memory, long-term and short-term, his proposal was largely
ignored until the demonstration in the late 1950s by Brown (6) in
England and the Petersons (7) in Indiana that even a small amount of
material, such as three consonants, would be forgotten within seconds
unless the subject was allowed to maintain them by active rehearsal.
Both studies postulated the existence of a temporary short-term memory
system within which memory traces spontaneously faded within seconds,
proposing that the system was limited in storage capacity and
contrasting it with long-term memory, which had massive capacity and
durability. This challenge to contemporary orthodoxy was resisted (8),
leading to a period of intense experimental activity in the 1960s. On
balance, the evidence seemed to support a dual system: many separate
models were proposed, but most influential was that of Atkinson and
Shiffrin (1). This model proposed that information from the environment passes through a series of brief sensory memories that are essentially part of the process of perception before reaching a short-term or
working memory. This forms a limited capacity bottleneck that is
necessary both for registering new information in long-term memory and
for its manipulation and retrieval.
Evidence for this view came from many sources, of which three were
particularly influential, namely: (i) two-component tasks, (ii) differential coding, and (iii)
neuropsychological evidence.
A number of tasks appear to reflect two
quite separate memory processes, which were assumed to relate to long-
and short-term memory, respectively. The most characteristic of these
is the task known as free recall, in which the subject is presented
with a list of unrelated words and invited to recall as many as
possible in any order, immediately after presentation. Under these
circumstances, the last few items presented tend to be particularly
well-recalled, a phenomenon known as the recency effect. If, however,
recall is delayed for 5-10 sec, during which the subject is prevented from rehearsing, then the recency effect disappears while the delay has
little or no effect on the recall of earlier items, suggesting that the
recency items may have been held in a temporary store while earlier
items are held in a more durable long-term store (9).
The second popular technique used to
study short-term or working memory is that of immediate serial recall
or memory span, in which a subject is presented with a string of items,
such as the digits comprising a telephone number, and required to
recall them in the appropriate order. As sequence length increases, the probability of correct recall declines, the maximum length the subject
can recall being referred to as the memory span. Conrad (10) observed
that when subjects were recalling sequences of consonants, their errors
tended to be similar in sound to the correct item (for example, b being
recalled as v), even though presentation was visual.
Further evidence for some form of acoustic or phonological code comes
from the observation that recall of sequences of items that sound
similar is more prone to error than recall of dissimilar sequences.
Hence, subjects asked to recall the sequence man, cat, map, can, mat
recalled the sequence correctly on only It had been known for some time
that densely amnesic patients who appear to be incapable of registering
new information in long-term memory may nonetheless have normal memory
span (13, 14), suggesting that they may have preserved short-term
memory. Further evidence for this was presented by Baddeley and
Warrington (15), who also demonstrated that amnesic patients show a
normal recency effect in free recall and may perform normally on the Peterson and Peterson short-term forgetting task, provided that they
are intellectually unimpaired apart from their amnesia. Shallice and
Warrington (16) demonstrated the converse pattern in a group of
patients who typically had damage to the perisylvian region of the left
hemisphere. Such patients perform very poorly on verbal memory span
tasks and show virtually no recency, but nonetheless appear to have
well preserved long-term memory capacity. This pattern of results
argues strongly for the separation of long- and short-term memory
systems.
At first sight the weight of evidence seemed to argue strongly in favor
of a system such as that proposed by Atkinson and Shiffrin (1), with a
temporary short-term system that controls input into and out of
long-term memory. More detailed consideration, however, suggests a
major problem. If short-term memory forms a crucial link in the chain
of learning and cognition, then patients with a deficit in this system
should have problems in long-term learning and retrieval, not to
mention the many other tasks such as comprehension and reasoning that
were assumed to depend upon the short-term working memory system.
However, not only were such patients able to perform well on long-term
memory tasks, they also seemed to have remarkably few problems in their
everyday life. One such patient was a very efficient secretary, while a second ran a shop and looked after a family. Furthermore, the assumptions concerning the process whereby information was transferred from short- to long-term memory within the Atkinson and Shiffrin model
was heavily criticized (e.g., ref. 17), and, by the early 1970s,
interest in short-term memory began to wane.
Working Memory
In an attempt to tackle this paradox, Baddeley and Hitch (18)
developed a procedure whereby the hypothetical short-term memory system
was systematically manipulated by requiring the subject continuously to
rehearse a sequence of digits while performing a task such as reasoning
that was assumed to depend on short-term memory. The digit load ranged
from one item to eight, slightly beyond the immediate memory span of
most subjects. It was assumed that the longer the sequence, the more of
the capacity of the memory system would be occupied, leaving
progressively less capacity for performing other tasks, such as
reasoning, comprehending, and learning, which should thus show a
progressive decline in performance. The results were somewhat
unexpected. Although speed of performance declined with increasing
load, accuracy remained high. Furthermore, the decrement in speed was
far from catastrophic, even at maximum load, suggesting some overlap of
function between the system responsible for holding digits and the
general short-term memory system, but implying that the two were far
from identical.
In response to this and a range of similar results, Baddeley and Hitch
proposed to replace the concept of a unitary system with a tripartite
system. This involves an attentional controller, the central executive,
aided by two subsidiary slave systems, the visuo-spatial sketchpad,
which holds and manipulates visual images, and the phonological or
articulatory loop, which performs a similar function for speech-based
information. It is this latter system that is assumed to be the
principal determinant of immediate recall of digit sequences and that
is defective in patients with short-term memory deficit. In neither the
patients nor in the concurrent load study was there massive disruption
of general performance, because performance could be maintained by the
central executive and the visuo-spatial sketchpad. Although far from
complete, this simple tripartite model has proved to be remarkably
successful, both in accounting for a wide range of experimental data
and in providing a useful framework for neuropsychological
investigation. The three subsystems will be described in turn.
The Phonological Loop
This is the simplest and best understood of the three components.
It is assumed to contain a temporary storage system in which acoustic
or speech-based information can be held in the form of memory traces
that spontaneously fade away within 2 or 3 sec unless refreshed by
rehearsal. The rehearsal system is assumed to involve some form of
subvocal articulation, which revives the memory trace, with the result
that, given a small enough amount of information, it can be maintained
indefinitely by continuous rehearsal. However, as the quantity
increases the point is reached at which the first item has faded from
memory before the last item has been processed, resulting in the
limited capacity of memory span. Phonologically similar sequences such
as the letters b, c, g, d, p are more error-prone, because the items
have fewer phonological distinguishing features, making them more
vulnerable to forgetting. The process of subvocal rehearsal is
reflected in the word length effect, whereby a sequence of long words
such as opportunity, tuberculosis, paramedical, refrigerator,
university is substantially harder to recall than a sequence of five
monosyllabic words. The processes of rehearsal and response production
are assumed to operate in real time; longer words take longer to
articulate, giving more time for the memory trace to fade.
A simple way of summarizing this lawful relationship is to observe that
subjects can remember about as many words as they can say in 2 sec Although the two-component model appeared to give a good account of the
available evidence, it remained unclear exactly what functional role
was played by the phonological loop and why it had evolved in this way.
Attempts to link it with language comprehension by studying the
auditory sentence comprehension capacity of patients with a specific
phonological loop deficit suggested some difficulties with particularly
complex syntactic forms but failed to yield strong evidence for the
phonological loop as a major component of comprehension (24), a
conclusion that was consistent with the previously noted capacity of
such patients to cope in everyday life with few apparent problems.
An alternative proposal was tested by Baddeley, Papagno, and Vallar
(25), who suggested that the phonological loop might be necessary for
new phonological learning, something of crucial importance for a child
acquiring language but of much less significance for an adult, unless
they are trying to learn a new language. The hypothesis was tested by
requiring a patient with a very pure phonological memory deficit to
learn a series of words in an unfamiliar language, Russian. While the
patient showed no impairment in the capacity to learn to associate
already familiar words, she was grossly impaired in learning Russian
vocabulary. Subsequent studies showed that the capacity to hear and
repeat back an unfamiliar pseudoword is an excellent predictor of the
acquisition of new vocabulary, both in children acquiring both their
first language (26) and their second (27). It appears to be the case,
therefore, that the phonological loop has evolved as a crucial
component of the system for language acquisition.
Visuo-Spatial Sketch Pad
While there is no doubt that a visuo-spatial parallel to the
phonological loop exists, it has proved somewhat harder to investigate, due at least in part to its greater complexity. It seems likely, for
example, that visual and spatial information are handled by separate
but strongly interacting components of the system (28). It also seems
likely that many uses of visual imagery are somewhat less practiced or
automatic than the phonological coding that occurs for verbal
information, and consequently tasks using the sketchpad often seem to
place heavier demands on the central executive.
The initial experiments on the sketch pad utilized the technique
whereby subjects were encouraged to use spatial imagery to encode a
series of sentences for immediate recall. The procedure involves
presenting the subject with a 4 × 4 matrix and designating one
cell the starting square. The subject then hears a series of sentences,
such as: In the starting square put a one, In the next square to the
right put a two, In the next square to the right put a three, In the
next square beneath put a four, In the next square to the right put a
five, etc. Subjects invariably use imagery to encode the sentences in
terms of a path through the matrix and can typically recall a sequence
of eight sentences. The use of imagery can be avoided by replacing the
spatial adjectives with nonspatial, such as good, bad, weak, and
strong. Under these circumstances, subjects seem to rely on rote verbal
rehearsal and can manage only about six sentences. When subjects were
required to perform these two tasks at the same time as carrying out a spatial tracking task, analogous to steering a car on a winding track,
performance on the imagery condition was markedly impaired, while the
rote condition was unaffected, suggesting that imagery and tracking
depend on a common visuo-spatial system (29). A later study contrasted
visual and spatial interference effects. In one condition, subjects
attempted to keep pointing at a moving sound source while blindfolded,
a task involving spatial but not visual processing, while in another
they made decisions about the brightness of a large screen, a task
involving visual processing but minimal spatial demand. The imagery
task was much more markedly impaired by the spatial interference.
Subsequent research has, however, indicated that while the task
described is principally a spatial one, others may be more visual in
character (30).
It has been known since classical times that verbal memory may be
enhanced by the use of visual imagery. Classical orators, for example,
often remembered their speeches by imagining an iconic representative
of each component, for example a sheaf of corn for the price of food,
located at different points in a previously memorized building. Such
visual encoding enhances memory, but can be interfered with by
concurrent visual activity Evidence for separate visual and spatial components of the sketch pad
are also provided by neuropsychological studies. Patients have been
described who show a pattern of disruption of spatial imagery, involved
in activities such as image rotation or representation of locations or
routes in space, while preserving the capacity to use imagery to make
judgments about the shape or color of familiar objects, such as
describing the shape of a dachshund's ears (32). Yet, other patients
show the opposite pattern of disruption, with spatial impairment
tending to be associated with lesions in the parietal lobes, whereas
visual impairment is more commonly associated with occipital lobe
damage (28, 33). More recently, positron emission tomography scanning
studies have indicated at least four locations that are probably
involved in the operation of the visuo-spatial sketch pad, including
areas within the occipital, parietal, and frontal lobes (23). Finally,
single unit recording in primates has begun to allow the careful
tracing out of the areas involved in the temporary maintenance of
visual information, producing data that are broadly compatible with the
general working memory model, while providing considerably more
anatomical detail (see ref. 34 in this issue of the
Proceedings for a review of this area).
The study of the neurophysiological underpinning of the visuo-spatial
sketch pad is therefore progressing rapidly, probably more so than is
the case with the phonological loop; since animals tend not to indulge
in verbal coding, the range of available physiological techniques is
rather more narrow. At the psychological level, however, our
understanding is probably rather less; we do not, for example, have a
good conceptualization of the process of rehearsal, whereby visual
material is maintained in the sketchpad. Furthermore, while one can
speculate on plausible and necessary functions for the visuo-spatial
sketch pad, relatively little work has been done so far on its everyday
or evolutionary significance. Some of this comparative lack of progress
has stemmed from the absence of clear behavioral methods of disrupting
the separate components of the sketch pad. The Quinn and McConnell (31)
visual noise technique described earlier seems highly promising in this
regard and may well result in the rapid development of better
interference techniques. Finally, it often appears to be the case that
tasks that utilize the sketch pad, such as the use of imagery
mnemonics, also rely heavily on the central executive, which, as we see
below, is probably even more complex and less well-understood than the sketchpad.
The Central Executive
The central executive is assumed to be responsible for the
attentional control of working memory. The concept was initially used
principally as a holding operation, allowing the study of the more
tractable problems of the slave systems, while accepting the need for
further investigation of the complex processes that are almost
certainly involved in the control of memory. The concept began to
develop with the proposal by Baddeley (4) to link it to Norman and
Shallice's (35) model of a supervisory attentional system, which they
postulated to account for slips of action and for the complex pattern
of symptoms observed in patients with frontal lobe damage. However,
although agreeing that the central executive is likely to be heavily
dependent upon the operation of the frontal lobes, Baddeley was careful
not to define it anatomically, preferring to analyze the functions of
the system first, only then asking the question of the anatomical
substrate. The frontal lobes are large, complex, and almost certainly
involve processes other than executive control; at the same time,
executive processes are presumably a means of controlling varied
regions of the brain, which suggests that they may be disrupted at
points other than the frontal lobes. For that reason Baddeley and
Wilson (36) proposed the term dysexecutive syndrome to refer to
neuropsychological cases with disruption of executive functions that
have often in the past been referred to as suffering from "frontal
syndrome." (See ref. 37 for further discussion on this point.)
While it is possible that the central executive performs as a simple
unitary controller, the variety and complexity of executive deficits in
neuropsychological patients seems to point strongly in the direction of
fractionation into subsystems or at least subprocesses. Our current
strategy (38) is to attempt to identify such necessary executive
processes and to develop methods of measurement and analysis, leaving
for the future the question of whether such processes represent parts
of a highly integrated system or a single executive, or whether the
appearance of a single controller reflects the emergent properties of a
series of parallel but equal processes, an executive "committee,"
perhaps?
Although we have begun to explore a range of executive processes (38),
most progress has been made in one of these, the capacity to coordinate
two or more concurrent activities. Our initial studies were prompted by
an attempt to analyse the cognitive deficit in patients suffering from
probable Alzheimer disease. In addition to the massive deficit in
episodic long-term memory that is the principal hallmark of the
disease, we found an impairment across a range of working memory tasks,
which suggested a defective executive component rather than a deficit
in the slave systems. We decided to investigate this by testing the
capacity of the central executive to coordinate activity in the two
slave systems.
The experimental design involved comparing three groups of subjects,
probable Alzheimer disease patients, normal elderly subjects, and
normal young subjects. In a typical study, the phonological loop would
be occupied by a digit span task, and the sketch pad would be occupied
by visuo-spatial tracking. In both cases, task difficulty was titrated
to a point at which all three groups were operating at an equivalent
level when the tasks were performed independently. When required to
track and remember digits simultaneously, the young and elderly showed
a small and equivalent decrement, whereas that shown by the probable
Alzheimer disease patients was substantially greater (39). A subsequent
longitudinal study demonstrated that the capacity of probable Alzheimer
disease patients to coordinate tasks deteriorated much more
dramatically than performance on the tasks performed alone (40).
A recent positron emission tomography scanning study (41) suggests that
dual-task performance does indeed involve frontal lobe function,
although that does not, of course, imply that all patients with damage
anywhere in the frontal lobes will perform poorly at dual-task
coordination. This view is supported by a study analyzing the dual-task
performance of a group of 24 patients with well-established frontal
lobe lesions. The patients were also tested on two standard
"frontal" measures, namely the Wisconsin Card Sorting Test (42),
a concept formation task in which patients with frontal damage tend to
perform poorly and perseverate on earlier solutions, and verbal
fluency, a task in which subjects try to generate as many items as
possible from a given category such as animals, which again is often
impaired in patients with frontal lobe damage (42). Finally we were
interested in attempting to capture the behavioral disorder that
accompanies the classic frontal syndrome, often reflected in
disinhibition or apathy. We based our measure of this on clinical
ratings by two independent judges, one relying on observations during
neuropsychological testing of the patients, while the other reflected
comments by the patient's carer. While all subjects showed a broad
tendency to deterioration on the card sorting and verbal fluency tests, neither of these was significantly associated with behavioral disturbance. On the other hand, those patients who showed behavioral signs performed significantly worse on dual-task performance than those
whose behavior was comparatively normal (43).
Although the association between dual-task performance and conduct was
serendipitous, it does bear a resemblance to an independent finding by
Alderman (44), who carried out a study concerned with a rehabilitation
program for brain damaged patients with behavioral problems. While the
program was in general successful, a substantial minority of patients
failed to benefit. In testing these patients on a wide range of
measures, one cluster of tests proved to be particularly revealing,
namely those involving the need to coordinate two tasks, on which
consistently poor performance was shown by patients who failed to
respond to the rehabilitation program.
These two studies observing a link between dual-task performance and
behavior are highly intriguing, but should clearly be replicated before
drawing strong conclusions. If they do replicate, they present the
problem as to why the association should occur. One possibility is that
of a similar anatomical localization of two separate processes. A more
interesting possibility, however, might relate to the role of multitask
coordination in social behavior; perhaps the need to maintain one's
own interests at the same time as paying attention to those around
places heavy demands on the capacity for dual-task performance?
While this approach to the analysis of the central executive is still
at a relatively early stage, there has been some progress in
postulating and beginning to study other candidate executive processes,
including the capacity to focus attention, to switch attention from one
focus to another, and to use working memory to activate aspects of
long-term memory (38). There has also been considerable interest in
exploring the function of working memory, typically by developing
measures of individual difference in working memory capacity, and
relating these to performance on tasks, such as comprehension,
reasoning, and general intelligence tests.
One of the most extensively used measures was that developed by Daneman
and Carpenter (45), who defined a working memory task as one that
simultaneously required the storage and manipulation of information.
The task they use most frequently is termed working memory span and
involves presenting the subject with a series of sentences. After
reading them, the subject must recall the last word of each sentence;
span is set by the maximum number of sentences the subject can both
read and recall the final words. Daneman and Carpenter found that
performance on this test predicted prose comprehension skills in their
college student subjects, going on to observe in more detail the way in
which working memory capacity appears to underpin such components of
comprehension as capacity to draw inferences and to extrapolate beyond
the evidence given (46).
Using a similar paradigm, Oakhill, Yuill, and Parkin (47) have studied
children who appear to be reasonably good at reading, in the sense of
pronouncing written words, but poor at comprehending the prose that
they read. Such children tend to have low working memory spans, leading
Oakhill et al. to suggest that they have a deficit in
central executive capacity. Both they and Turner and Engle (48) find
that it is not necessary to incorporate sentential material in the span
measure; for example, a sequence of calculations followed by unrelated
words appears to predict subsequent comprehension virtually as well.
Using a similar definition of working memory, namely the capacity to
simultaneously store and process information, Kyllonen and Christal
(49) attempted to relate working memory measures to more traditional
intelligence tests, typically based on reasoning tasks. They observed a
high correlation between the two sets of measures, with the working
memory tests depending slightly more on speed of processing, and the
intelligence tests being more influenced by prior experience and
education. This latter point is important in certain selection
situations, where, for example, it may be necessary to evaluate the job
potential of people from a range of different cultural and educational
backgrounds. The practical value of working memory measures is
demonstrated by a study in which Christal (50) found that he was able
to predict success in a course on logic gates more effectively on the
basis of the working memory battery than on the basis of more
traditional psychometric tests.
In conclusion, the development of the concept of a unitary short-term
memory store into that of a multicomponent working memory system has
proved extremely fruitful, both in theoretical and applied research.
Working memory provides a crucial interface between perception,
attention, memory, and action. As an area that has already proved the
value of combining the methods and concepts of cognitive psychology
with those of neurobiology, working memory seems likely to continue to
play a lively and productive role in the developing discipline of
cognitive neuroscience.
Proc. Natl. Acad. Sci. USA
Vol. 93,
pp. 13468-13472,
November 1996
This paper was presented at a colloquium entitled "Memory:
Recording Experience in Cells and Circuits," organized by Patricia
S. Goldman-Rakic, held February 17-20, 1996, at the National Academy
of Sciences, in Irvine, CA.
20% of occasions, compared
with
80% recall of a dissimilar sequence such as pet, day, cow,
pen, sup. The similarity of meaning involved in a sequence such as big,
huge, large, wide, tall, on the other hand, had little or no effect on
performance (11). When the paradigm was changed by lengthening the
sequence to 10 items and testing was performed by delayed recall so as
to demand the utilization of long-term memory, then the pattern
changed, with similarity of meaning becoming crucial and acoustic
similarity losing its influence (12). Under these conditions,
therefore, it appears that short-term memory adopts an acoustic code,
whereas long-term memory operates most effectively when registering the
novel material in terms of meaning.
short words or fast talking gives rise to long spans.
Interestingly, the process of rehearsal does not need to be overt,
since even patients who have lost the capacity to articulate as a
result of a peripheral lesion may still show all the signs of subvocal
rehearsal, including the word length effect (19). While there remains
controversy over the extent to which the word length effect stems from
the slowing of rehearsal versus the slowing of response output (20) and
as to the exact nature of rehearsal in young children (21), the broad
phenomena associated with the phonological loop appear to be
well-established. Furthermore, the development of positron emission
tomography scanning techniques has allowed the subcomponents to be
identified with specific anatomical regions, with the phonological
store apparently dependent upon the left perisylvian region, while the
articulatory rehearsal system appears to reflect the operation of
Broca's area (22, 23).
for example, presentation of line drawings
or patches of color which the subject is free to ignore (30)
or, as
has recently been discovered, simply by exposing the subject to a
constantly changing visual noise pattern (31). The visual noise has no
effect on material that is dependent on rote verbal memory, which is,
however, influenced by the concurrent presentation of speech or of
patterned and fluctuating sounds, which influence phonological
loop-based memory while having an effect on performance based on visual
imagery.
The publication costs of this
article were defrayed in part by page
charge payment. This article
must therefore be hereby marked
"advertisement"
in accordance with 18 U.S.C.
§1734 solely to indicate this fact.
The support of Grant G9423916 from the British Medical Research Council is gratefully acknowledged.
| 1. | Atkinson, R. C. & Shiffrin, R. M. (1968) in The Psychology of Learning and Motivation: Advances in Research and Theory, ed. Spence, K. W. (Academic, New York), Vol. 2, pp. 89-195. |
| 2. | Olton, D. S. (1979) Am. Psychol. 34, 583-596 [CrossRef][Medline] . |
| 3. | Newell, A. & Simon, H. A. (1972) Human Problem Solving (Prentice-Hall, Englewood Cliffs, NJ). |
| 4. | Baddeley, A. D. (1986) Working Memory (Oxford Univ. Press, Oxford). |
| 5. | Hebb, D. O. (1949) Organization of Behavior (Wiley, New York). |
| 6. | Brown, J. (1958) Q. J. Exp. Psychol. 10, 12-21 . |
| 7. | Peterson, L. R. & Peterson, M. J. (1959) J. Exp. Psychol. 58, 193-198 [CrossRef][ISI][Medline] . |
| 8. | Melton, A. W. (1963) J. Verbal Learn. Verbal Behav. 2, 1-21 . |
| 9. | Glanzer, M. & Cunitz, A. R. (1966) J. Verbal Learn. Verbal Behav. 5, 351-360 [CrossRef]. |
| 10. | Conrad, R. (1960) Br. J. Psychol. 51, 45-48 [Medline] . |
| 11. | Baddeley, A. D. (1966) Q. J. Exp. Psychol. 18, 362-365 [ISI][Medline] . |
| 12. | Baddeley, A. D. (1966) Q. J. Exp. Psychol. 18, 302-309 [Medline] . |
| 13. | Milner, B. (1966) in Amnesia, Whitty, C. W. M. & Zangwill, O. L. (Butterworth, London), pp. 109-133. |
| 14. | Zangwill, O. L. (1946) Br. J. Psychol. 37, 8-19 . |
| 15. | Baddeley, A. D. & Warrington, E. K. (1970) J. Verbal Learn. Verbal Behav. 9, 176-189 [CrossRef]. |
| 16. | Shallice, T. & Warrington, E. K. (1970) Q. J. Exp. Psychol. 22, 261-273 [ISI][Medline] . |
| 17. | Craik, F. I. M. & Watkins, M. J. (1973) J. Verbal Learn. Verbal Behav. 12, 599-607 . |
| 18. | Baddeley, A. D. & Hitch, G. (1974) in The Psychology of Learning and Motivation, ed. Bower, G. A. (Academic, New York), Vol. 8, pp. 47-89. |
| 19. | Baddeley, A. D. & Wilson, B. (1985) J. Mem. Lang. 24, 490-502 . |
| 20. | Cowan, N., Day, L., Saults, J. S., Keller, T. A., Johnson, T. & Flores, L. (1992) J. Mem. Lang. 31, 1-17 . |
| 21. | Gathercole, S. E. & Hitch, G. (1993) in Theories of Memory, eds. Collins, A. F., Gathercole, S. E., Conway, M. A. & Morris, P. E. (Lawrence Erlbaum, Sussex, U.K.), pp. 189-210. |
| 22. | Paulesu, E., Frith, C. D. & Frackowiak, R. S. J. (1993) Nature (London) 362, 342-345 [CrossRef][Medline] . |
| 23. | Jonides, J., Smith, E. E., Koeppe, R. A., Awh, E., Minoshima, S. & Mintun, M. A. (1993) Nature (London) 363, 623-625 [CrossRef][Medline] . |
| 24. | Vallar, G. & Shallice, T., eds. (1990) Neuropsychological Impairments of Short-Term Memory (Cambridge Univ. Press, Cambridge, U.K.). |
| 25. | Baddeley, A. D., Papagno, C. & Vallar, G. (1988) J. Mem. Lang. 27, 586-595 . |
| 26. | Gathercole, S. & Baddeley, A. D. (1989) J. Mem. Lang. 28, 200-213 . |
| 27. | Service, E. (1992) Q. J. Exp. Psychol. 45A, 21-50 . |
| 28. | Farah, M. J. (1988) Psychol. Rev. 95, 307-317 [CrossRef][ISI][Medline] . |
| 29. | Baddeley, A. D., Grant, S., Wight, E. & Thomson, N. (1973) in Attention and Performance V, eds. Rabbitt, P. M. A. & Dornic, S. (Academic, London), pp. 205-217. |
| 30. | Logie, R. H. (1986) Q. J. Exp. Psychol. 38A, 229-247 . |
| 31. | Quinn, J. & McConnell, J. (1996) Q. J. Exp. Psychol. 49A, 200-215 [CrossRef]. |
| 32. | Farah, M. J., Hammond, K. M., Levine, D. N. & Calvanio, R. (1988) Cognit. Psychol. 20, 439-462 [CrossRef][ISI][Medline] . |
| 33. | Hanley, J. R., Young, A. W. & Pearson, N. A. (1991) Q. J. Exp. Psychol. 43A, 101-126 . |
| 34. |
Goldman-Rakic, P. S.
(1996)
Proc. Natl. Acad. Sci. USA
93,
13473-13480
|
| 35. | Norman, D. A. & Shallice, T. (1980) Attention to Action: Willed and Automatic Control of Behavior (University of California San Diego, La Jolla, CA). CHIP Report 99. |
| 36. | Baddeley, A. D. & Wilson, B. (1988) Brain Cognit. 7, 212-230 . |
| 37. | Baddeley, A. D. & Della Sala, S. (1996) Proc. R. Soc. London, in press. |
| 38. | Baddeley, A. D. (1996) Q. J. Exp. Psychol. 49A, 1 [CrossRef]. , 5-28. |
| 39. | Baddeley, A. D., Logie, R., Bressi, S., Della Sala, S. & Spinnler, H. (1986) Q. J. Exp. Psychol. 38A, 603-618 [ISI]. |
| 40. |
Baddeley, A. D., Bressi, S., Della Sala, S., Logie, R. & Spinnler, H.
(1991)
Brain
114,
2521-2542
|
| 41. | D'Esposito, M., Detre, J. A., Alsop, D. C., Shin, R. K., Atlas, S. & Grossman, M. (1995) Nature (London) 378, 279-281 [CrossRef][Medline] . |
| 42. | Milner, B. (1964) in The Frontal Granular Cortex and Behavior, eds. Warren, J. M. & Akert, K. (McGraw-Hill, New York), pp. 313-334. |
| 43. | Baddeley, A. D., Della Sala, S., Papagno, C. & Spinnler, H. (1996) Neuropsychology, in press. |
| 44. | Alderman, N. (1996) Neuropsychol. Rehabil. 6, 161-186 . |
| 45. | Daneman, M. & Carpenter, P. A. (1980) J. Verbal Learn. Verbal Behav. 19, 450-466 [CrossRef]. |
| 46. | Daneman, M. & Carpenter, P. A. (1983) J. Exp. Psychol. Learn. Mem. Cognit. 9, 561-584 [CrossRef][ISI]. |
| 47. | Oakhill, J. V., Yuill, N. & Parkin, C. (1988) in Practical Aspects of Memory: Current Research and Issues, eds. Gruneberg, M. M., Morris, P. E. & Sykes, R. N. (Wiley, Chichester, U.K.), Vol. 2, pp. 315-320. |
| 48. | Turner, M. L. & Engle, R. W. (1989) J. Mem. Lang. 28, 127-154 [CrossRef]. |
| 49. | Kyllonen, P. C. & Christal, R. E. (1990) Intelligence 14, 389-433 [CrossRef][ISI]. |
| 50. | Christal, R. E. (1991) Comparative Validities of ASVAB and LAMP Tests for Logic Gate Learning (Armstrong Laboratory, Human Resources Directorate, Brookes Airforce Base, TX). Tech. ReA.L-T.P.-1991-0031. |
This article has been cited by other articles in HighWire Press-hosted journals:
![]() |
W. S. Kremen, H. Xian, K. C. Jacobson, L. J. Eaves, C. E. Franz, M. S. Panizzon, S. A. Eisen, A. Crider, and M. J. Lyons Storage and Executive Components of Working Memory: Integrating Cognitive Psychology and Behavior Genetics in the Study of Aging J. Gerontol. B. Psychol. Sci. Soc. Sci., March 1, 2008; 63(2): P84 - P91. [Abstract] [Full Text] [PDF] |
||||
![]() |
A.-C. Bedard and R. Tannock Anxiety, Methylphenidate Response, and Working Memory in Children With ADHD J Atten Disord, March 1, 2008; 11(5): 546 - 557. [Abstract] [PDF] |
||||
![]() |
T. Sigi Hale, S. Bookheimer, J. J. McGough, J. M. Phillips, and J. T. McCracken Atypical Brain Activation During Simple & Complex Levels of Processing in Adult ADHD: An fMRI Study J Atten Disord, September 1, 2007; 11(2): 125 - 139. [Abstract] [PDF] |
||||
![]() |
F. d. Boisgueheneuc, R. Levy, E. Volle, M. Seassau, H. Duffau, S. Kinkingnehun, Y. Samson, S. Zhang, and B. Dubois Functions of the left superior frontal gyrus in humans: a lesion study Brain, December 1, 2006; 129(12): 3315 - 3328. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Jaeger, C. Tatsuoka, S. M. Berns, and F. Varadi Distinguishing Neurocognitive Functions in Schizophrenia Using Partially Ordered Classification Models Schizophr Bull, October 1, 2006; 32(4): 679 - 691. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Acons, L.-s. Chan, G. Drummond, and B. Tiplady Effects of ethanol and promethazine on awareness of errors and judgements of performance J Psychopharmacol, September 1, 2006; 20(5): 661 - 669. [Abstract] [PDF] |
||||
![]() |
H. Koike, P. A. Arguello, M. Kvajo, M. Karayiorgou, and J. A. Gogos Disc1 is mutated in the 129S6/SvEv strain and modulates working memory in mice PNAS, March 7, 2006; 103(10): 3693 - 3697. [Abstract] [Full Text] [PDF] |
||||
![]() |
O. A. van den Heuvel, D. J. Veltman, H. J. Groenewegen, M. P. Witter, J. Merkelbach, D. C. Cath, A. J. L. M. van Balkom, P. van Oppen, and R. van Dyck Disorder-Specific Neuroanatomical Correlates of Attentional Bias in Obsessive-compulsive Disorder, Panic Disorder, and Hypochondriasis Arch Gen Psychiatry, August 1, 2005; 62(8): 922 - 933. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. Volle, J.B. Pochon, S. Lehericy, B. Pillon, B. Dubois, and R. Levy Specific Cerebral Networks for Maintenance and Response Organization within Working Memory as Evidenced by the 'Double Delay/Double Response' Paradigm Cereb Cortex, July 1, 2005; 15(7): 1064 - 1074. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. J. Thomas, B. R. Rosen, C. E. Stern, J. W. Weiss, and K. K. Kwong Functional imaging of working memory in obstructive sleep-disordered breathing J Appl Physiol, June 1, 2005; 98(6): 2226 - 2234. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. Tiplady, E. Bowness, L. Stien, and G. Drummond Selective effects of clonidine and temazepam on attention and memory J Psychopharmacol, May 1, 2005; 19(3): 259 - 265. [Abstract] [PDF] |
||||
![]() |
A. Fornito, M. Yucel, S. Wood, G. W. Stuart, J.-A. Buchanan, T. Proffitt, V. Anderson, D. Velakoulis, and C. Pantelis Individual Differences in Anterior Cingulate/Paracingulate Morphology Are Related to Executive Functions in Healthy Males Cereb Cortex, April 1, 2004; 14(4): 424 - 431. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Quinette, B. Guillery, B. Desgranges, V. de la Sayette, F. Viader, and F. Eustache Working memory and executive functions in transient global amnesia Brain, September 1, 2003; 126(9): 1917 - 1934. [Abstract] [Full Text] [PDF] |
||||
![]() |
V. Vuontela, M.-R. Steenari, S. Carlson, J. Koivisto, M. Fjallberg, and E. T. Aronen Audiospatial and Visuospatial Working Memory in 6-13 Year Old School Children Learn. Mem., January 1, 2003; 10(1): 74 - 81. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. A. Harris, C. Miniussi, I. M. Harris, and M. E. Diamond Transient Storage of a Tactile Memory Trace in Primary Somatosensory Cortex J. Neurosci., October 1, 2002; 22(19): 8720 - 8725. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. A. Harris, I. M. Harris, and M. E. Diamond The Topography of Tactile Working Memory J. Neurosci., October 15, 2001; 21(20): 8262 - 8269. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. P. Jha and G. McCarthy The Influence of Memory Load Upon Delay-Interval Activity in a Working-Memory Task: An Event-Related Functional MRI Study J. Cogn. Neurosci., November 1, 2000; 12(90002): 90S - 105. [Abstract] [Full Text] |
||||
![]() |
R. Levy and P. S. Goldman-Rakic Association of Storage and Processing Functions in the Dorsolateral Prefrontal Cortex of the Nonhuman Primate J. Neurosci., June 15, 1999; 19(12): 5149 - 5158. [Abstract] [Full Text] [PDF] |
||||
![]() |
F. Eustache, B. Desgranges, P. Laville, B. Guillery, C. Lalevée, S. Schaeffer, V. de la Sayette, S. Iglesias, J.-C. Baron, and F. Viader Episodic memory in transient global amnesia: encoding, storage, or retrieval deficit? J. Neurol. Neurosurg. Psychiatry, February 1, 1999; 66(2): 148 - 154. [Abstract] [Full Text] |
||||
![]() |
G. Tononi and G. M. Edelman Consciousness and Complexity Science, December 4, 1998; 282(5395): 1846 - 1851. [Abstract] [Full Text] |
||||
![]() |
E. E. Smith, J. Jonides, C. Marshuetz, and R. A. Koeppe Components of verbal working memory: Evidence from neuroimaging PNAS, February 3, 1998; 95(3): 876 - 882. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. S. Goldman-Rakic Memory: Recording experience in cells and circuits: Diversity in memory research PNAS, November 26, 1996; 93(24): 13435 - 13437. [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||