Conclusion

In this target article I have stressed several points. The first is the remarkable degree of similarity in the capacity limit in working memory observed with a wide range of procedures. A restricted set of conditions is necessary to observe this limit. It can be observed only with procedures that allow assumptions about what the independent chunks are, and that limit the recursive use of the limited-capacity store (in which it is applied first to one kind of activated representation and then to another type). The preponderance of evidence from procedures fitting these conditions strongly suggests a mean memory capacity in adults of 3 to 5 chunks, whereas individual scores appear to range more widely from about 2 up to about 6 chunks. The evidence for this pure capacity limit is considerably more extensive than that for the somewhat higher limit of 7 + 2 stimuli; that higher limit is valid nevertheless as a commonly observed, compound STM limit for materials that allow on-line rehearsal, chunking, and memorization, for which the exact number of chunks in memory cannot be ascertained. The fundamental capacity limit appears to coincide with conditions in which the chunks are held in the focus of attention at one time; so it is the focus of attention that appears to be capacity-limited.

When the material to be remembered is diverse (e.g., some items spoken and some printed; some words and some tones; or some verbal and some nonverbal items), the scene is not coherent and multiple retrievals result in considerably better recall. This all suggests that the focus of attention, as a capacity-limited storage mechanism, can shift from one type of material to another or from one level of organization to another, and that the individual is only aware of the handful of separate units of a related type within a scene at any one moment (Cowan, 1995; Mandler, 1985).

References

Anderson, J.R., & Matessa, M. (1997). A production system theory of serial memory. Psychological Review, 104, 728-748.

Atkinson, J., Campbell, F.W., & Francis, M.R. (1976). The magic number 4 + 0: A new look at visual numerosity. Perception, 5, 327-334.

Atkinson, J., Francis, M.R., & Campbell, F.W. (1976). The dependence of the visual numerosity limit on orientation, colour, and grouping of the stimulus. Perception, 5, 335-342.

Atkinson, R. C., & Shiffrin, R. M. (1968). Human memory: A proposed system and its control processes. In K. W. Spence & J. T. Spence (Eds.), The psychology of learning and motivation: Advances in research and theory (Vol. 2, pp. 89-195). New York: Academic Press.

Avons, S.E., Wright, K.L., & Pammer, K. (1994). The word-length effect in probed and serial recall. Quarterly Journal of Experimental Psychology, 47A, 207-231.

Baars, B.J. (1988). A cognitive theory of consciousness. London: Cambridge University Press.

Baddeley, A.D. (1986). Working memory. Oxford: Clarendon Press.

Baddeley, A. (1992). Working memory. Science, 255, 556-559.

Baddeley, A., Lewis, V. & Vallar, G. (1984). Exploring the articulatory loop. The Quarterly Journal of Experimental Psychology, 36A, 233-252.

Besner, D. (1987). Phonology, lexical access in reading, and articulatory suppression: A critical review. Quarterly Journal of Experimental Psychology, 39A, 467-478.

Bjork, R.A., & Whitten, W.B. (1974). Recency-sensitive retrieval processes in long-term free recall. Cognitive Psychology, 6, 173-189.

Bower, G.H., & Winzenz, D. (1969). Group structure, coding and memory for digit series. Journal of Experimental Psychology Monographs, 80, 1-17.

Braun, H.A., Wissing, H., Schäfer, K., & Hirsch, M.C. (1994). Oscillation and noise determine signal transduction in shark multimodal sensory cells. Nature, 367, 270-273.

Broadbent, D.E. (1958). Perception and communication. London: Pergamon Press.

Broadbent, D.E. (1975). The magic number seven after fifteen years. In A. Kennedy & A. Wilkes (eds.), Studies in long-term memory. Wiley. (pp. 3-18)

Brown, G.D.A., & Hulme, C. (1995). Modeling item length effects in memory span: No rehearsal needed? Journal of Memory & Language, 34, 594-621.

Brown, G.D.A., Preece, T., & Hulme, C. (in press). Oscillator-based memory for serial order. Psychological Review.

Cardozo, B.L., & Leopold, F.F. (1963). Human code transmission. Ergonomics, 6, 133-141.

Chase, W., & Simon, H.A. (1973). The mind's eye in chess. In W.G. Chase (ed.), Visual information processing. New York: Academic Press. (pp. 215-281)

Cherry, E.C. (1953). Some experiments on the recognition of speech, with one and with two ears. The Journal of the Acoustical Society of America, 25 (5), 975-979.

Chi, M.T.H., & Klahr, D. (1975). Span and rate of apprehension in children and adults. Journal of Experimental Child Psychology, 19, 434-439.

Cleeremans, A., & McClelland, J.L. (1991). Learning the structure of event sequences. Journal of Experimental Psychology: General, 120, 235-253.

Cohen, J.D., Perlstein, W.M., Braver, T.S., Nystrom, L.E., Noll, D.C., Jonides, J., & Smith, E.E. (1997). Temporal dynamics of brain activation during a working memory task. Nature, 386, 604-608.

Corballis, M.C. (1967). Serial order in recognition and recall. Journal of Experimental Psychology, 74, 99-105.

Cowan, N. (1988). Evolving conceptions of memory storage, selective attention, and their mutual constraints within the human information processing system. Psychological Bulletin, 104, 163-191.

Cowan, N. (1995). Attention and memory: An integrated framework. Oxford Psychology Series, No. 26. New York: Oxford University Press.

Cowan, N., Cartwright, C., Winterowd, C., & Sherk, M. (1987). An adult model of preschool children's speech memory. Memory and Cognition, 15, 511-517.

Cowan, N., Lichty, W., & Grove, T.R. (1990). Properties of memory for unattended spoken syllables. Journal of Experimental Psychology: Learning, Memory, & Cognition, 16, 258-269.

Cowan, N., Nugent, L.D., Elliott, E.M., Ponomarev, I., & Saults, J.S. (1999). The role of attention in the development of short-term memory: Age differences in the verbal span of apprehension. Child Development, 70, 1082-1097.

Cowan, N., Saults, J.S., & Nugent, L.D. (1997). The role of absolute and relative amounts of time in forgetting within immediate memory: The case of tone pitch comparisons. Psychonomic Bulletin & Review, 4, 393-397.

Cowan, N., Winkler, I., Teder, W., & Näätänen, R. (1993). Memory prerequisites of the mismatch negativity in the auditory event-related potential (ERP). Journal of Experimental Psychology: Learning, Memory, & Cognition, 19, 909-921.

Cowan, N., Wood, N.L., Nugent, L.D., & Treisman, M. (1997). There are two word length effects in verbal short-term memory: Opposed effects of duration and complexity. Psychological Science, 8, 290-295.

Cowan, N., Wood, N.L., Wood, P.K., Keller, T.A., Nugent, L.D., & Keller, C.V. (1998). Two separate verbal processing rates contributing to short-term memory span. Journal of Experimental Psychology: General, 127, 141-160.

Craik, F., Gardiner, J.M., & Watkins, M.J. (1970). Further evidence for a negative recency effect in free recall. Journal of Verbal Learning and Verbal Behavior, 9, 554-560.

Crowder, R.G. (1993). Short-term memory: Where do we stand? Memory & Cognition, 21, 142-145.

Daneman, M., & Carpenter, P.A. (1980). Individual differences in working memory and reading. Journal of Verbal Learning & Verbal Behavior, 19, 450-466.

Daneman, M., & Merikle, P.M. (1996). Working memory and language comprehension: A Meta-Analysis. Psychonomic Bulletin & Review, 3, 422-433.

Darwin, C.J., Turvey, M.T., & Crowder, R.G. (1972). An auditory analogue of the Sperling partial report procedure: Evidence for brief auditory storage. Cognitive Psychology, 3, 255-267.

Dirlam, D.K. (1972). Most efficient chunk sizes. Cognitive Psychology, 3, 355-359.

Elman, J.L. (1993). Learning and development in neural networks: the importance of starting small. Cognition, 48, 71-99.

Engle, R.W., Kane, M.J., & Tuholski, S.W. (1999). Individual differences in working memory capacity and what they tell us about controlled attention, general fluid intelligence, and functions of the prefrontal cortex. In A. Miyake and P. Shah, Models of working memory: Mechanisms of active maintenance and executive control. Cambridge, UK: Cambridge University Press.

Ericsson, K.A. (1985). Memory skill. Canadian Journal of Psychology, 39, 188-231.

Ericsson, K.A., Chase, W.G., & Faloon, S. (1980). Acquisition of a memory skill. Science, 208, 1181-1182.

Ericsson, K.A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102, 211-245.

Fisher, D.L. (1984). Central capacity limits in consistent mapping, visual search tasks: Four channels or more? Cognitive Psychology, 16, 449-484.

Frensch, P.A., & Miner, C.S. (1994). Effects of presentation rate and individual differences in short-term memory capacity on an indirect measure of serial learning. Memory & Cognition, 22, 95-110.

Frick, R.W. (1984). Using both an auditory and a visual short-term store to increase digit span. Memory & Cognition, 12, 507-514.

Glanzer, M., & Cunitz, A.R. (1966). Two storage mechanisms in free recall. Journal of Verbal Learning & Verbal Behavior, 5, 351-360.

Glanzer, M., & Razel, M. (1974). The size of the unit in short-term storage. Journal of Verbal Learning & Verbal Behavior, 13, 114-131.

Glenberg, A.M., & Swanson, N.C. (1986). A temporal distinctiveness theory of recency and modality effects. Journal of Experimental Psychology: Learning, Memory, & Cognition, 12, 3-15.

Gobet, F., & Simon, H.A. (1996). Templates in chess memory: A mechanism for recalling several boards. Cognitive Psychology, 31, 1-40.

Gobet, F., & Simon, H.A. (1998). Expert chess memory: Revisiting the chunking hypothesis. Memory, 6, 225-255.

Graesser II, A., & Mandler, G. (1978). Limited processing capacity constrains the storage of unrelated sets of words and retrieval from natural categories. Journal of Experimental Psychology: Human Learning and Memory, 4, 86-100.

Gray, C.M., König, P., Engel, A.K., and Singer, W. (1989). Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties. Nature, 338, 334-337.

Gray, J.A., & Wedderburn, A.A.I. (1960). Grouping strategies with simultaneous stimuli. Quarterly Journal of Experimental Psychology, 12, 180-184.

Greene, R.L. (1989). Immediate serial recall of mixed-modality lists. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15, 266-274.

Gruenewald, P.J., & Lockhead, G.R. (1980). The free recall of category examples. Journal of Experimental Psychology: Human Learning and Memory, 6, 225-240.

Guttentag, R. E. (1984). The mental effort requirement of cumulative rehearsal: A developmental study. Journal of Experimental Child Psychology, 37, 92-106.

Halford, G.S., Maybery, M.T., & Bain, J.D. (1988). Set-size effects in primary memory: An age-related capacity limitation? Memory & Cognition, 16, 480-487.

Halford, G.S., Wilson, W.H., & Phillips, S. (1998). Processing capacity defined by relational complexity: Implications for comparative, developmental, and cognitive psychology. Behavioral and Brain Sciences, 21, 723-802.

Hamilton, W. (1859). Lectures on metaphysics and logic. Vol. 1. Edinburgh: W. Blackwood.

Henderson, L. (1972). Spatial and verbal codes and the capacity of STM. Quarterly Journal of Experimental Psychology, 24, 485-495.

Hitch, G.J., Burgess, N., Towse, J.N., & Culpin, V. (1996). Temporal grouping effects in immediate recall: A working memory analysis. Quarterly Journal of Experimental Psychology, 49A, 116-139.

Holtzman, J.D., & Gazzaniga, M.S. (1982). Dual task interactions due exclusively to limits in processing resources. Science, 218, 1325-1327.

Hulme, C., Maughan,S., & Brown, G.D.A. (1991). Memory for familiar and unfamiliar words: Evidence for a long-term memory contribution to short-term memory span. Journal of Memory & Language, 30, 685-701.

Hummel, J.E., & Holyoak, K.J. (1997). Distributed representations of strucure: A theory of analogical access and mapping. Psychological Review, 104, 427-466.

Jacoby, L.L., Woloshyn, V., & Kelly, C. (1989). Becoming famous without being recognized: Unconscious influences of memory produced by divided attention. Journal of Experimental Psychology: General, 118, 115-125.

James, W. (1890). The principles of psychology. NY: Henry Holt.

Jevons, W.S. (1871). The power of numerical discrimination. Nature, 3, 281-282.

Jones, D., Farrand, P., Stuart, G., & Morris, N. (1995). Functional equivalence of verbal and spatial information in serial short-term memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 1008-1018.

Kareev, Y. (1995). Through a narrow window: Working memory capacity and the detection of covariation. Cognition, 56, 263-269.

Kareev, Y., Lieberman, I., & Lev, M. (1997). Through a narrow window: Sample size and the perception of correlation. Journal of Experimental Psychology: General, 126, 278-287.

Kaufman, E., Lord, M., Reese, T., & Volkmann, J. (1949). The discrimination of visual number. American Journal of Psychology, 62, 498-525.

Kintsch, W., & van Dijk, T.A. (1978). Toward a model of text comprehension and production. Psychological Review, 85, 363-394.

Kirschfeld, K. (1992). Oscillations in the insect brain: Do they correspond to thecortical -waves of vertebrates? Proceedings of the National Academy of Sciences, 89, 4764-4768.

Klapp, S.T., & Netick, A. (1988). Multiple resources for processing and storage in short-term working memory. Human Factors, 30, 617-632.

LaPointe, L.B., & Engle, R.W. (1990). Simple and complex word spans as measures of working memory capacity. Journal of Experimental Psychology: Learning, Memory, & Cognition, 16, 1118-1133.

Lewicki, P., Czyzewska, M., & Hoffman, H. (1987). Unconscious acquisition of complex procedural knowledge. Journal of Experimental Psychology, 13, 523-530.

Lisman, J.E., & Idiart, M.A.P. (1995). Storage of 7 + 2 short-term memories in oscillatory subcycles. Science, 267, 1512-1515.

Lockhead, G.R. (1970). Identification and the form of multi-dimensional discrimination space. Journal of Experimental Psychology, 85, 1-10.

Logan, G.D. (1988). Toward an instance theory of automatization. Psychological Review, 95, 492-527.

Logan, G.D., & Klapp, S.T. (1991). Automatizing alphabet arithmetic: I. Is extended practice necessary to produce automaticity? Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 179-195.

Logie, R.H., & Baddeley, A.D. (1987). Cognitive processes in counting. Journal of Experimental Psychology: Learning, Memory, & Cognition, 13, 310-326.

Logie, R.H., Gilhooly, K.J., & Wynn, V. (1994). Counting on working memory in arithmetic problem solving. Memory & Cognition, 22, 395-410.

Longoni, A.M., Richardson, J.T.E., & Aiello, A. (1993). Articulatory rehearsal and phonological storage in working memory. Memory & Cognition, 21, 11-22.

Luck, S.J., & Vogel, E.K. (1997). The capacity of visual working memory for features and conjunctions. Nature, 390, 279-281.

Luck, S.J., & Vogel, E.K. (1998). Response from Luck and Vogel. (A response to "Visual and auditory working memory capacity," by N. Cowan, in the same issue.) Trends in Cognitive Sciences, 2, 78-80.

MacGregor, J.N. (1987). Short-term memory capacity: Limitation or optimization? Psychological Review, 94, 107-108.

Mandler, G. (1967). Organization and memory. In K.W. Spence & J.T. Spence (eds.), The psychology of learning and motivation, Vol. 1. New York: Academic Press. (pp. 327-372)

Mandler, G. (1975). Memory storage and retrieval: Some limits on the reach of attention and consciousness. In P.M.A. Rabbitt & S. Dornic (Eds.), Attention and performance V. New York: Academic Press.

Mandler, G. (1985). Cognitive psychology: An essay in cognitive science. Hillsdale, NJ: Erlbaum.

Mandler, G., & Shebo, B.J. (1982). Subitizing: An analysis of its component processes. Journal of Experimental Psychology: General, 111, 1-22.

Martin, M. (1980). Attention to words in different modalities: Four-channel presentation with physical and semantic selection. Acta Psychologica, 44, 99-115.

McGeoch, J.A. (1932). Forgetting and the law of disuse. Psychological Review, 39, 352-370.

McKone, E. (1995). Short-term implicit memory for words and nonwords. Journal of Experimental Psychology: Learning, Memory, & Cognition, 21, 1108-1126.

McLean, R.S., & Gregg, L.W. (1967). Effects of induced chunking on temporal aspects of serial recitation. Journal of Experimental Psychology, 74, 455-459.

Melton, A.W. (1963). Implications of short-term memory for a general theory of memory. Journal of Verbal Learning and Verbal Behavior, 2, 1-21.

Meyer, D.E., & Kieras, D.E. (1997). A computational theory of executive processes and multiple-task performance: Part 1. Basic mechanisms. Psychological Review, 104, 3-65.

Miller, G.A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81-97. http://cogprints.soton.ac.uk/archives/psyc/papers/199807/199807022/doc.html/miller.html

Miller, G.A., & Selfridge, J.A. (1950). Verbal context and the recall of meaningful material. American Journal of Psychology, 63, 176-185.

Milner, P.M. (1974). A model for visual shape recognition. Psychological Review, 81, 521-535.

Miltner, W.H.R., Braun, C., Arnold, M., Witte, H., & Taub, E. (1999). Coherence of gamma-band EEG activity as a basis for associative learning. Nature, 397, 434-436.

Moray, N. (1959). Attention in dichotic listening: Affective cues and the influence of instructions. Quarterly Journal of Experimental Psychology, 11, 56-60.

Murray, D.J. (1968). Articulation and acoustic confusability in short-term memory. Journal of Experimental Psychology, 78, 679-684.

Nairne, J.S. (1991). Positional uncertainty in long-term memory. Memory & Cognition, 19, 332-340.

Nairne, J.S. (1992). The loss of positional certainty in long-term memory. Psychological Science, 3, 199-202.

Neath, I. (1998). Human memory: An introduction to research, data, and theory. Pacific Grove, CA: Brooks/Cole.

Neath, I., & Nairne, J.S. (1995). Word-length effects in immediate memory: Overwriting trace decay. Psychonomic Bulletin & Review, 2, 429-441.

Newport, E.L. (1990). Maturational constraints on language learning. Cognitive Science, 14, 11-29.

Nissen, M.J., & Bullemer, P. (1987). Attentional requirements of learning: Evidence from performance measures. Cognitive Psychology, 19, 1-32.

Pashler, H. (1988). Familiarity and visual change detection. Perception & Psychophysics, 44, 369-378.

Penney, C.G. (1980). Order of report in bisensory verbal short-term memory. Canadian Journal of Psychology, 34, 190-195.

Peterson, L.R., & Johnson, S.T. (1971). Some effects of minimizing articulation on short-term retention. Journal of Verbal Learning and Verbal Behavior, 10, 346-354.

Peterson, L. R. & Peterson, M. J. (1959). Short-term retention of individual verbal items. Journal of Experimental Psychology, 58, 193-198.

Pollack, I. (1953). The information in elementary auditory displays. II. Journal of the Acoustical Society of America, 25, 765-769.

Pollack, I., Johnson, I.B., & Knaff, P.R. (1959). Running memory span. Journal of Experimental Psychology, 57, 137-146.

Posner, M.I. (1969). Abstraction and the process of recognition. In Bower, G.H., and Spence, J.T. (eds.), Psychology of learning and motivation. Vol. 3. New York: Academic Press. (pp. 43-100)

Posner, M., Snyder, C., & Davidson, B. (1980). Attention and detection of signals. Journal of Experimental Psychology: General, 109, 160-174.

Postman, L., & Phillips, L.W. (1965). Short-term temporal changes in free recall. Quarterly Journal of Experimental Psychology, 17, 132-138.

Poulton, E.C. (1954). Eye-hand span in simple serial tasks. Journal of Experimental Psychology, 47, 403-410.

Pylyshyn, Z., Burkell, J., Fisher, B., Sears, C., Schmidt, W., & Trick, L. (1994). Multiple parallel access in visual attention. Canadian Journal of Experimental Psychology, 48, 260-283.

Pylyshyn, Z.W., & Storm, R.W. (1988). Tracking multiple independent targets: Evidence for a parallel tracking mechanism. Spatial Vision, 3, 179-197.

Raaijmakers, J.G.W., & Shiffrin, R.M. (1981). Search of associative memory. Psychological Review, 88, 93-134.

Reber, P.J., & Kotovsky, K. (1997). Implicit learning in problem solving: The role of working memory capacity. Journal of Experimental Psychology: General, 126, 178-203.

Reisberg, D., Rappaport, I., & O'Shaughnessy, M. (1984). Limits of working memory: The digit-digit span. Journal of Experimental Psychology: Learning, Memory, & Cognition, 10, 203-221.

Rensink, R.A., O'Regan, J.K., & Clark, J.J. (1997). To see or not to see: The need for attention to perceive changes in scenes. Psychological Science, 8, 368-373.

Richman, H.B., Staszewski, J.J., & Simon, H.A. (1995). Simulation of expert memory using EPAM IV. Psychological Review, 102, 305-330.

Rodriguez, E., George, N., Lachaux, J.-P., Martinerie, J., Renault, B., & Varela, F.J. (1999). Perception's shadow: long-distance synchronization of human brain activity. Nature, 397, 430-433.

Ryan, J. (1969). Grouping and short-term memory: Different means and patterns of groups. Quarterly Journal of Experimental Psychology, 21, 137-147.

Sanders, A.F. (1968). Short term memory for spatial positions. Psychologie, 23, 1-15.

Sanders, A.F., & Schroots, J.J.F. (1969). Cognitive categories and memory span. III. Effects of similarity on recall. Quarterly Journal of Experimental Psychology, 21, 21-28.

Scarborough, D.L. (1971). Memory for brief visual displays: The role of implicit speech. Paper presented to the Eastern Psychological Association, New York.

Schneider, W., & Detweiler, M. (1987). A connectionist/control architecture for working memory. In G.H. Bower (ed.), The psychology of learning and motivation (vol. 21). New York: Academic Press.

Schneider, W., & Shiffrin, R. M. (1977). Controlled and automatic human information processing: I. Detection, search, and attention. Psychological Review, 84, 1-66.

Schweickert, R., & Boruff, B. (1986). Short-term memory capacity: Magic number or magic spell? Journal of Experimental Psychology: Learning, Memory, and Cognition, 12, 419-425.

Schweickert, R., Hayt, C., Hersberger, L., & Guentert, L. (1996). How many words can working memory hold? A model and a method. In S.E. Gathercole (ed.), Models of short-term memory. East Sussex, U.K.: Psychology Press.

Service, E. (1998). The effect of word length on immediate serial recall depends on phonological complexity, not articulatory duration. Quarterly Journal of Experimental Psychology, 51A, 283-304.

Shah, P., & Miyake, A. (1996). The separability of working memory resources for spatial thinking and language processing: An individual differences approach. Journal of Experimental Psychology: General, 125, 4-27.

Shastri, L., & Ajjanagadde, V. (1993). From simple associations to systematic reasoning: A connectionist representation of rules, variables, and dynamic bindings using temporal synchrony. Behavioral and Brain Sciences, 16, 417-494.

Shiffrin, R.M. (1993). Short-term memory: A brief commentary. Memory & Cognition, 21, 193-197.

Shiffrin, R.M., & Nosofsky, R.M. (1994). Seven plus or minus two: A commentary on capacity limitations. Psychological Review, 101, 357-361.

Shiffrin, R.M., & Schneider, W. (1977). Controlled and automatic human information processing: II. Perceptual learning, automatic attending, and a general theory. Psychological Review, 84, 127-190.

Simon, H.A. (1974). How big is a chunk? Science, 183, 482-488.

Simon, T.J., & Vaishnavi, S. (1996). Subitizing and counting depend on different attentional mechanisms: Evidence from visual enumeration in afterimages. Perception & Psychophysics, 58, 915-926.

Simons, D.J., & Levin, D.T. (1998). Failure to detect changes to people during a real-world interaction. Psychonomic Bulletin & Review, 5, 644-649.

Sirevaag, E.J., Kramer, A.F., Coles, M.G.H., & Donchin, E. (1989). Resource reciprocity: An event-related brain potentials analysis. Acta Psychologica, 70, 77-97.

Sperling, G. (1960). The information available in brief visual presentations. Psychological Monographs, 74 (Whole No. 498.)

Sperling, G. (1967). Successive approximations to a model for short-term memory. Acta Psychologica, 27, 285-292.

Stadler, M. (1989). On learning complex procedural knowledge. Journal of Experimental Psychology: Learning, Memory, & Cognition, 15, 1061-1069.

Sternberg, S. (1966). High-speed scanning in human memory. Science, 153, 652-654.

Tehan, G., & Humphreys, M.S. (1996). Cuing effects in short-term recall. Memory & Cognition, 24, 719-732.

Tiitinen, H., Sinkkonen, J., Reinikainen, K., Alho, K., Lavikainen, J., & Näätänen, R. (1993). Selective attention enhances the auditory 40-Hz transient response in humans. Nature, 364, 59-60.

Toms, M., Morris, N., & Ward, D. (1993). Working memory and conditional reasoning. Quarterly Journal of Experimental Psychology, 46A, 679-699.

Trick, L.M., & Pylyshyn, Z.W. (1993). What enumeration studies can show us about spatial attention: Evidence for limited capacity preattentive processing. Journal of Experimental Psychology: Human Perception and Performance, 19, 331-351.

Trick, L.M., & Pylyshyn, Z.W. (1994a). Why are small and large numbers enumerated differently? A limited-capacity preattentive stage in vision. Psychological Review, 101, 80-102.

Trick, L.M., & Pylyshyn, Z.W. (1994b). Cueing and counting: Does the position of the attentional focus affect enumeration? Visual Cognition, 1, 67-100. Tulving, E., & Colotla, V. (1970). free recall of trilingual lists. Cognitive Psychology, 1, 86-98.

Tulving, E., & Patkau, J.E. (1962). Concurrent effects of contextual constraint and word frequency on immediate recall and learning of verbal material. Canadian Journal of Psychology, 16, 83-95.

Tulving, E., & Patterson, R.D. (1968). Functional units and retrieval processes in free recall. Journal of Experimental Psychology, 77, 239-248.

Tulving, E., & Pearlstone, Z. (1966). Availability versus accessibility of information in memory for words. Journal of Verbal Learning and Verbal Behavior, 5, 381-391.

Vallar, G., & Baddeley, A.D. (1982). Short-term forgetting and the articulatory loop. Quarterly Journal of Experimental Psychology, 34A, 53-60.

Vogel, E.K., Luck, S.J., & Shapiro, K.L. (1998). Electrophysiological evidence for a postperceptual locus of suppression during the attentional blink. Journal of Experimental Psychology: Human Perception and Performance, 24, 1656-1674.

von der Malsburg, C. (1995). Binding in models of perception and brain function. Current Opinion in Neurobiology, 5, 520-526.

Watkins, M.J. (1974). Concept and measurement of primary memory. Psychological Bulletin, 81, 695-711.

Watkins, O.C., & Watkins, M.J. (1975). Build-up of proactive inhibition as a cue-overload effect. Journal of Experimental Psychology: Human Learning and Memory, 1, 442-452.

Waugh, N.C., & Norman, D.A. (1965). Primary memory. Psychological Review, 72, 89-104.

Wickelgren, W.A. (1964). Size of rehearsal group and short-term memory. Journal of Experimental Psychology, 68, 413-419.

Wickelgren, W.A. (1966). Phonemic similarity and interference in short-term memory for single letters. Journal of Experimental Psychology, 71, 396-404.

Wickens, C. D. (1984). Processing resources in attention. In. R. Parasuraman & D. R. Davies (Eds.), Varieties of attention (pp. 63-102). New York: Academic Press.

Wickens, D.D., Moody, M.J., & Dow, R. (1981). The nature and timing of the retrieval process and of interference effects. Journal of Experimental Psychology: General, 110, 1-20.

Wilkes, A.L. (1975). Encoding processes and pausing behaviour. In A. Kennedy & A. Wilkes (eds.), Studies in long-term memory. London: Wiley. (pp. 19-42)

Wood, N., & Cowan, N. (1995). The cocktail party phenomenon revisited: How frequent are attention shifts to one's name in an irrelevant auditory channel? Journal of Experimental Psychology: Learning, Memory, & Cognition, 21, 255-260.

Yantis, S. (1992). Multielement visual tracking: Attention and perceptual organization. Cognitive Psychology, 24, 295-340.

Zhang, G., & Simon, H. A. (1985). STM capacity for Chinese words and idioms: Chunking and acoustical loop hypotheses. Memory and Cognition, 13, 193-201.

Acknowledgments

This project was supported by NICHD Grant R01 21338. I thank Monica Fabiani, Gabriele Gratton, and Michael Stadler for helpful comments. Address correspondence to Nelson Cowan, Department of Psychology, University of Missouri, 210 McAlester Hall, Columbia, MO, USA. E-mail: CowanN@Missouri.edu.


Learning & Memory
Chapter 7: Models
(pp. 192 - 214)

  1. INTRODUCTION. From the time that the discipline of psychology was in its infancy, researchers have assumed that memory is compartmentalized into several different components or types of memory. For example, consider these early thoughts by William James, one of the founders of psychology in America:
On "primary memory"(James, The Principles of Psychology, 1890): "An object which is recollected, in the proper sense of that term, is one which has been absent from consciousness altogether and now revives anew....But an object of primary memory is not thus brought back; it never was lost; its date was never cut off in consciousness from that of the immediately present moment."
On "secondary memory" (James, Psychology: the Briefer Course, 1892): "Memory proper, or secondary memory, as it might be styled, is the knowledge of a former state of mind after it has already once dropped from consciousness; or rather it is the knowledge of an event, or fact, of which meantime we have not been thinking, with the additional consciousness that we have thought or experienced it before."

Since those early days, many other writers have suggested other ways to divide memory into multiple components. Is this compartmentalized view defensible? Why or why not? What does all of this have to do with heuristic value and dissociation?

  1. THE STORAGE SYSTEM APPROACH: an example of compartmentalization (based on Atkinson & Shiffrin, 1968)

A sampling of evidence:

A. Visual Sensory Memory: (Averbach & Sperling, 1960)

The stimuli:50 msec presentation of 3 x 4 matrix of letters & numbers
A V   S
N   P  
C     T
Whole report:
  • Procedure: "Tell me everything you can remember from the entire display"
  • Results: correct recall of most of top line
  • Obvious Interpretation: in 50 msec, can only take in a few letters
HOWEVER... Partial report:
  • Procedure: Present matrix and play 1 of 3 tones cuing recall for one of the lines Timing of tone was varied from 100 msec before the display to 1000 msec after.
  • Results:
Averbach and Sperling's Conclusion: "The work described in this paper shows that the visual process involves a buffer storage of relatively high capacity that can take in information virtually instantaneously and retain it to permit its relatively slow utilization." This 'buffer' came to be known as visual sensory memory or iconic memory. The 'relatively slow utilization' came to be thought of as the transfer of items to STM.

B. STM vs LTM

· The serial position curve & double dissociation (Fig. 7.2)

· Retrograde vs. anterograde amnesic patients

· More info on the STM/LTM distinction: (Amber R., Amanda W., Bobbie P. & Cassie K)

C. Further Divisions: varieties of LTM

§ Why bother?

i. Lots of different kinds of info: autobiographical, factual knowledge, episodic, skills, conditioned responses, explicit, implicit, etc.

ii. Amnesic patients--dissociation

§ One example: episodic vs. semantic

i. "personal, time-dated, sometimes emotional & unique" or "impersonal, timeless, emotionally neutral and universal"

ii. Dan Schacter's forgetful golfer (semantic vs episodic)

iii. Endel Tulving's head-injured motorcyclist (autobiographical vs episodic)

iv. Neuropsych evidence

v. BUT...a word of warning: where do semantic memories come from?

§ Another way to cut the cake: explicit vs implicit

i. Explicit: measured by correct responses when directly asked to remember a prior event (e.g., recall or recognition)

ii. Implicit: measured by improvements in performance as a result of experience but without directly asking the subject to remember anything. Confused? Some examples may help:

o Helmholtz savings

o priming (e.g., "nurse-doctor" lexical decision task, word completion, recognition RT, fragmented words or pictures task-- Fig 7.4)

o procedural learning (e.g., Tower of Hanoi puzzle)

o list repetition:

iii. All of the above on implicit/explicit simply refers to differences in the procedures used to measure memory--implicit or explicit procedures. Does any of this justify a belief in different memory systems? (Hint: the dissociation data are summarized on p. 207)

  1. QUICKIE SUMMARY:

The modal model proposes that memory consists of several different stages and storage mechanisms, and how well you can remember an experience depends on which "box" in which you placed the information. Supporting this are data from lots of dissociation studies which find that logical differences in types of memories (i.e., episodic vs. semantic) correspond w/ differences in actual performance. There is some difference of opinion about just how to parse memory, but near consensus on the idea that it is not monolithic.

  1. THE STAGE APPROACH: ENCODING - STORAGE - RETRIEVAL
    1. Dissociation 1: the alcohol study (Table 7.3) Amanda G has more on this.
    2. Dissociation 2: visual priming (Figure 7.4): normal adults vs Alzheimer's patients
  1. AND NOW, FOR SOMETHING COMPLETELY DIFFERENT: PROCESSING APPROACHES

A. Consider the following experiment: DO HYDE & JENKINS SIMULATION

Hyde & Jenkins (1973) J. Verb. Lrng. & Verb. Beh:

Procedure o Auditory presentation of a 24-word list, 3 sec per word o 6 groups--each w/ a different set of instructions: § pleasantness ratings § frequency of usage § E-G checking § parts of speech § sentence frames § intentional memory o Final, unexpected free recall of the 24 words
Results:

W/in the framework of the Modal Model, why should judging the pleasantness of a word produce recall equal to (actually, a bit better than) intentional rehearsal? Answer: it shouldn't. So---what gives here?

B. Levels of Processing:

Craik & Lockhart (J. Verb. Lrn. & Verb. Beh, 1972) From pp 675-677: ASSUMPTION I: Processing ą Perception "Many theorists now agree that perception involves the rapid analysis of stimuli at a number of levels or stages... Preliminary stages are concerned with the analysis of such physical or sensory features as lines, angles, brightness, pitch, and loudness, while later stages are more concerned with matching the input against stored abstractions from past learning; that is, later stages are concerned with pattern recognition and the extraction of meaning. This conception of a series or hierarchy of processing stages is often referred to as 'depth of processing' where greater 'depth' implies a greater degree of semantic or cognitive analysis. After the stimulus has been recognized, it may undergo further processing by enrichment or elaboration. For example, after a word is recognized, it may trigger associations, images or stories on the basis of the subject’s past experience with the word...." ASSUMPTION II: (deeper processingą longer retention; memory = by-product of perceptual processing) "One of the results of this perceptual analysis is the memory trace. Such features of the trace as its coding characteristics and its persistence thus arise essentially as byproducts of perceptual processing....Specifically, we suggest that trace persistence is a function of depth of analysis, with deeper levels of analysis associated with more elaborate, longer lasting, and stronger traces.... It is perfectly possible to draw a box around early analyses and call it sensory memory and a box around intermediate analyses called short-term memory, but that procedure both oversimplifies matters and evades the more significant issues...." "Thus, we prefer to think of memory tied to levels of perceptual processing. Although these levels may be grouped into stages (sensory analyses, pattern recognition, and stimulus elaboration, for example) processing levels may be more usefully envisaged as a continuum of analysis. Thus, memory, too, is viewed as a continuum from the transient products of sensory analyses to the highly durable products of semantic-associative operations. ASSUMPTION III: (rehearsal = continued processing; maintenance & elaborative) "...superimposed on this basic memory system there is a second way in which stimuli can be retained—by recirculating information at one level of processing. In our view, such descriptions as 'continued attention to certain aspects of the stimulus,' 'keeping the items in consciousness,' 'holding the items in the rehearsal buffer,' and 'retention of the items in primary memory' all refer to the same concept of maintaining information at one level of processing.... This Type I processing, that is, repetition of analyses which have already been carried out [ maintenance rehearsal ], may be contrasted with Type II processing which involves deeper analysis of the stimulus [ elaborative rehearsal ]. Only this second type of rehearsal should lead to improved memory performance. To the extent that the subject utilizes Type II processing, memory will improve with total study time..." SUMMARY: "To summarize, it is suggested that the memory trace is better described in terms of depth of processing or degree of stimulus elaboration. Deeper analysis leads to a more persistent trace. While information may be held in PM [Primary or Working Memory], such maintenance will not in itself improve subsequent retention; when attention is diverted, information is lost at a rate which depends essentially on the level of analysis...."

----o—

http://www.scottsdalecc.edu/ricker/psy101/readings/Section_4/4-1.html


Понравилась статья? Добавь ее в закладку (CTRL+D) и не забудь поделиться с друзьями:  



double arrow
Сейчас читают про: