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4 - Basic Information Processing and the Psychophysiology of Intelligence

Published online by Cambridge University Press:  23 November 2009

Robert J. Sternberg
Affiliation:
Yale University, Connecticut
Jean E. Pretz
Affiliation:
Yale University, Connecticut
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Summary

BASIC INFORMATION PROCESSING AND INTELLIGENCE

Research on individual differences in human cognitive abilities or intelligence has a long history in scientific psychology. After decades of psychometric research into the structure of human cognitive abilities, the last 20 to 30 years have been characterized also by attempts to analyze cognitive components and correlates of psychometric intelligence. In this realm an important approach has been the attempt to relate the individual speed of information processing to psychometric intelligence (the so-called mental speed approach). This approach traces back to the idea that human cognitive or intellectual functioning might be decomposed in elementary cognitive processes, which are assumed to constitute an important basis of intellectual functioning. In the last two decades important progress has been made in this field of research: In using so-called elementary cognitive tasks (ECTs), which put only minimal requirements on the participants and are, thus, less likely prone to differential strategy usage, dozens of studies have provided converging evidence that shorter reaction times in these tasks are associated with higher psychometric intelligence, indicating a higher speed of information processing in brighter individuals.

The ECTs that have been used most extensively in this field of research are the Hick and the inspection time (IT) paradigm (see Fig. 1a). In the IT paradigm (cf. Vickers, Nettelbeck, & Wilson, 1972) participants are tachistoscopically (i.e., for very short exposure durations) shown two vertical lines of different length. Immediately after their exposure, the lines are masked by two thicker vertical lines of equal length.

Type
Chapter
Information
Cognition and Intelligence
Identifying the Mechanisms of the Mind
, pp. 68 - 87
Publisher: Cambridge University Press
Print publication year: 2004

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References

Anderson, B. (1995). G explained. Medical Hypotheses, 45, 602–604CrossRefGoogle Scholar
Barrett, P. T., Daum, I., & Eysenck, H. J. (1990). Sensory nerve conduction and intelligence: A methodological study. Journal of Psychophysiology, 4, 1–13Google Scholar
Barrett, P. T., & Eysenck, H. J. (1992). Brain electrical potentials and intelligence. In A. Gale & H. J. Eysenck (Eds.), Handbook of individual differences: Biological perspectives. New York: Wiley
Carpenter, P. A., & Just, M. (1975). Sentence comprehension: A psycholinguistic processing model of verification. Psychological Review, 82, 45–73CrossRefGoogle Scholar
Clark, H. H., & Chase, W. G. (1972). On the process of comparing sentences against pictures. Cognitive Psychology, 3, 472–517CrossRefGoogle Scholar
Deary, I. J. (2000). Looking down on human intelligence. Oxford, UK: Oxford University Press
Deary, I. J., & Caryl, P. G. (1993). Intelligence, EEG, and evoked potentials. In P. A. Vernon (Ed.), Biological approaches to the study of human intelligence (pp. 259–315). Norwood, NJ: Ablex
Duncan, J., Burgess, P., & Emslie, H. (1995). Fluid intelligence after frontal lobe lesions. Neuropsychologia, 33, 261–268CrossRefGoogle ScholarPubMed
Duncan, J., Seitz, R. J., Kolodny, J., Bor, D., Herzog, H., Ahmed, A., Newell, F. N., & Emslie, H. (2000). A neural basis for general intelligence. Science, 289, 457–460CrossRefGoogle ScholarPubMed
Fiez, J. A. (2001). Bridging the gap between neuroimaging and neuropsychology: Using working memory as a case study. Journal of Clinical and Experimental Neuropsychology, 23, 19–31CrossRefGoogle ScholarPubMed
Gabrieli, J. D. E. (1998). Cognitive neuroscience of human memory. Annual Review of Psychology, 49, 87–115CrossRefGoogle ScholarPubMed
Garlick, D. (2002). Understanding the nature of the general factor of intelligence: The role of individual differences in neural plasticity as an explanatory mechanism. Psychological Review, 109, 116–136CrossRefGoogle ScholarPubMed
Grudnik, J. L., & Kranzler, J. H. (2001). Meta-analysis of the relationship between intelligence and inspection time. Intelligence, 29, 523–535CrossRefGoogle Scholar
Haier, R. J. (1993). Cerebral glucose metabolism and intelligence. In P. A. Vernon (Ed.), Biological approaches to the study of human intelligence (pp. 317–332). Norwood, NJ: Ablex
Haier, R. J., Siegel, B. V., Nuechterlein, K. H., Hazlett, E., Wu, J. C., Paek, J., Browning, H. L., & Buchsbaum, M. S. (1988). Cortical glucose metabolic rate correlates of abstract reasoning and attention studied with positron emission tomography. Intelligence, 12, 199–217CrossRefGoogle Scholar
Haier, R. J., Siegel, B. V., MacLachlan, A., Soderling, E., Lottenberg, S., & Buchsbaum, M. S. (1992a). Regional glucose metabolic changes after learning a complex visuospatial/motor task: A positron emission topographic study. Brain Research, 570, 134–143CrossRefGoogle Scholar
Haier, R. J., Siegel, B., Tang, C., Abel, L., & Buchsbaum, M. S. (1992b). Intelligence and changes in regional cerebral glucose metabolic rate following learning. Intelligence, 16, 415–426CrossRefGoogle Scholar
Hick, W. E. (1952). On the rate of gain of information. Quarterly Journal of Experimental Psychology, 4, 11–26CrossRefGoogle Scholar
Hunt, (1980). Intelligence as an information processing concept. British Journal of Psychology, 71, 449–474CrossRefGoogle ScholarPubMed
Huttenlocher, P. R. (1979). Synaptic density in human frontal cortex — Developmental changes and effects of aging. Brain Research, 163, 195–205Google ScholarPubMed
Jausovec, N. (1996). Differences in EEG alpha activity related to giftedness. Intelligence, 23, 159–173CrossRefGoogle Scholar
Jensen, A. R. (1982). Reaction time and psychometric g. In H. J. Eysenck (Ed.), A model for intelligence (pp. 93–132). Heidelberg: SpringerCrossRef
Jensen, A. R. (1987). Individual differences in the Hick paradigm. In P. A. Vernon (Ed.), Speed of information processing and intelligence (pp. 101–176). Norwood, NJ: Ablex
Kessels, R. P. C., Postma, A., Wijnalda, E. M., & Haan, H. F. (2000). Frontal-lobe involvement in spatial memory: Evidence from PET, fMRI, and lesion studies. Neuropsychology Review, 10, 101–113CrossRefGoogle ScholarPubMed
Kyllonen, P. C., & Christal, R. E. (1990). Reasoning ability is (little more than) working-memory capacity? Intelligence, 14, 389–433CrossRefGoogle Scholar
Lindley, R. H., & Smith, W. R. (1992). Coding tests as measures of IQ: Cognition or motivation? Personality and Individual Differences, 13, 25–29CrossRefGoogle Scholar
Miller, E. M. (1994). Intelligence and brain myelination: A hypothesis. Personality and Individual Differences, 17, 803–832CrossRefGoogle Scholar
Neubauer, A. C. (1995). Intelligenz und Geschwindigkeit der Informationsverarbeitung. Vienna: Springer
Neubauer, A. C. (1997). The mental speed approach to the assessment of intelligence. In J. Kingma & W. Tomic (Eds.), Advances in cognition and educational practice: Reflections on the concept of intelligence (pp. 149–174). Greenwich, CT: JAI Press
Neubauer, A. C., & Bucik, V. (1996). The mental speed–IQ relationship: Unitary or modular? Intelligence, 22, 23–48CrossRefGoogle Scholar
Neubauer, A. C., & Fink, A. (2003). Fluid intelligence and neural efficiency: Effects of task complexity and sex. Personality and Individual Differences, 35, 811–827CrossRefGoogle Scholar
Neubauer, A. C., & Freudenthaler, H. H. (1994). Reaction times in a sentence–picture verification test and intelligence: Individual strategies and effects of extended practice. Intelligence, 19, 193–218CrossRefGoogle Scholar
Neubauer, A. C., & Knorr, E. (1997). Elementary cognitive processes in choice reaction time tasks and their correlation with intelligence. Personality and Individual Differences, 23, 715–728CrossRefGoogle Scholar
Neubauer, A. C., & Knorr, E. (1998). Three paper-and-pencil tests for speed of information processing: Psychometric properties and correlations with intelligence. Intelligence, 26, 123–151CrossRefGoogle Scholar
Neubauer, A. C., Fink, A., & Schrausser, D. G. (2002). Intelligence and neural efficiency: The influence of task content and sex on the brain–IQ relationship. Intelligence, 30, 515–536CrossRefGoogle Scholar
Neubauer, A. C., Freudenthaler, H. H., & Pfurtscheller, G. (1995). Intelligence and spatio-temporal patterns of event related desynchronization. Intelligence, 20, 249–267CrossRefGoogle Scholar
Neubauer, A. C., Sange, G., & Pfurtscheller, G. (1999). Psychometric intelligence and event-related desynchronisation during perfomance of a letter matching task. In G. Pfurtscheller & F. H. Lopes da Silva (Eds.), Event-Related Desynchronization (ERD) - And related oscillatory EEG-phenomena of the awake brain, Handbook of EEG and Clinical Neurophysiology, Revised Series (Vol. 6, pp. 219–231). Amsterdam: Elsevier
Parks, R. W., Loewenstein, D. A., Dodrill, K. L., Barker, W. W., Yoshii, F., Chang, J. Y., Emran, A., Apicella, A., Sheramata, W. A., & Duara, R. (1988). Cerebral metabolic effects of a verbal fluency test: A PET scan study. Journal of Clinical Experimental Neuropsychology, 10, 565–575CrossRefGoogle ScholarPubMed
Pfurtscheller, G., & Aranibar, A. (1977). Event-related cortical desynchronization detected by power measurements of scalp EEG. Electroencephalography and Clinical Neurophysiology, 42, 817–826CrossRefGoogle ScholarPubMed
Pfurtscheller, G., & Lopes, da Silva (1999). Event-related EEG/EMG synchronization and desynchronization: Basic principles. Clinical Neurophysiology, 110, 1842–1857CrossRefGoogle Scholar
Posner, M. I., & Mitchell, R. F. (1967). Chronometric analysis of classification. Psychological Review, 74, 392–409CrossRefGoogle ScholarPubMed
Prabhakaran, V., Smith, J. A. L., Desmond, J. E., Glover, H., & Gabrieli, J. D. E. (1997). Neural substrates of fluid reasoning: An fMRI study of neocortical activation during performance of the Raven's Progressive Matrices Test. Cognitive Psychology, 33, 43–63CrossRefGoogle ScholarPubMed
Raven, J. C. (1958). Advanced Progressive Matrices. London: Lewis
Reed, T. E., & Jensen, A. R. (1991). Arm nerve conduction velocity (NCV), brain NCV, reaction time, and intelligence. Intelligence, 15, 33–48CrossRefGoogle Scholar
Reed, T. E., & Jensen, A. R. (1992). Conduction velocity in a brain nerve pathway of normal adults correlates with intelligence level. Intelligence, 16, 259–272CrossRefGoogle Scholar
Smith, E. E., & Jonides, J. (1999). Storage and executive processes in the frontal lobes. Science, 283, 1657–1661CrossRefGoogle ScholarPubMed
Stankov, L. (2000). Complexity, metacognition, and intelligence. Intelligence, 28, 121–143CrossRefGoogle Scholar
Stankov, L., & Crawford, J. D. (1993). Ingredients of complexity in fluid intelligence. Learning and Individual Differences, 5, 73–111CrossRefGoogle Scholar
Stankov, L., & Raykov, (1995). Modeling complexity and difficulty in measures of fluid intelligence. Structural Equation Modeling, 2, 335–366CrossRefGoogle Scholar
Stankov, L., & Roberts, D. R. (1997). Mental speed is not the “basic” process of intelligence. Personality and Individual Differences, 22, 69–84CrossRefGoogle Scholar
Sternberg, S. (1966). High-speed scanning in human memory. Science, 153, 652–654CrossRefGoogle ScholarPubMed
Sternberg, S. (1969). Memory-scanning: Mental processes revealed by reaction time experiments. American Scientist, 57, 421–457Google ScholarPubMed
Sternberg, R. J., & Kaufman, J. C. (1998). Human abilities. Annual Review of Psychology, 49, 479–502CrossRefGoogle ScholarPubMed
Vernon, P. A. (1990). An overview of chronometric measures of intelligence. School Psychology Review, 19, 399–410Google Scholar
Vernon, P. A. (1993). Intelligence and neural efficiency. In D. K. Detterman (Ed.), Current topics in human intelligence (Vol. 3, pp. 171–187). Norwood, NJ: Ablex
Vernon, P. A., & Mori, M. (1992). Intelligence, reaction times, and peripheral nerve conduction velocity. Intelligence, 16, 273–288CrossRefGoogle Scholar
Vickers, D., Nettelbeck, T., & Wilson, R. J. (1972). Perceptual indices of performance, the measurement of “inspection time” and “noise” in the visual system. Perception, 1, 263–295CrossRefGoogle Scholar
Vitouch, O., Bauer, H., Gittler, G., Leodolter, M., & Leodolter, U. (1997). Cortical activity of good and poor spatial test performers during spatial and verbal processing studied with slow potential topography. International Journal of Psychophysiology, 27, 183–199CrossRefGoogle ScholarPubMed
Wickett, J. C., & Vernon, P. A. (1994). Peripheral nerve conduction velocity, reaction time, and intelligence — An attempt to replicate Vernon and Mori (1992). Intelligence, 18, 127–131CrossRefGoogle Scholar

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