building curiosity
building curiosity
Psychol Sci. 2008 Nov;19(11):1071-7.Click here to read Links
What's so special about working memory? An examination of the relationships among working memory, secondary memory, and fluid intelligence.
Mogle JA, Lovett BJ, Stawski RS, Sliwinski MJ.
Syracuse University, Syracuse, NY 13244, USA.
Working memory capacity (WMC) has received attention across many areas of psychology, in part because of its relationship with intelligence. The mechanism underlying the relationship is unknown, but the nature of typical WMC tasks has led to two hypothesized mechanisms: secondary-memory processes (e.g., search and retrieval) and the maintenance of information in the face of distraction. In the present study, participants (N= 383) completed a battery of cognitive tasks assessing processing speed, primary memory, working memory, secondary memory, and fluid intelligence. Secondary memory was the strongest predictor of fluid intelligence and added unique predictive value in models that accounted for working memory. In contrast, after accounting for the variance in fluid intelligence associated with the secondary-memory construct, the working memory construct did not significantly predict variability in fluid intelligence. Therefore, the secondary-memory requirements shared by many memory tasks may be responsible for the relationship between WMC and fluid intelligence, making the relationship less unique than is often supposed.
...substrate of g is becoming better characterized with this leetle gem
What's so special about working memory? An examination of the relationships among working memory, secondary memory, and fluid intelligence.
Mogle JA, Lovett BJ, Stawski RS, Sliwinski MJ.
Syracuse University, Syracuse, NY 13244, USA.
Working memory capacity (WMC) has received attention across many areas of psychology, in part because of its relationship with intelligence. The mechanism underlying the relationship is unknown, but the nature of typical WMC tasks has led to two hypothesized mechanisms: secondary-memory processes (e.g., search and retrieval) and the maintenance of information in the face of distraction. In the present study, participants (N= 383) completed a battery of cognitive tasks assessing processing speed, primary memory, working memory, secondary memory, and fluid intelligence. Secondary memory was the strongest predictor of fluid intelligence and added unique predictive value in models that accounted for working memory. In contrast, after accounting for the variance in fluid intelligence associated with the secondary-memory construct, the working memory construct did not significantly predict variability in fluid intelligence. Therefore, the secondary-memory requirements shared by many memory tasks may be responsible for the relationship between WMC and fluid intelligence, making the relationship less unique than is often supposed.
...substrate of g is becoming better characterized with this leetle gem
medicalstudent | 3 years ago
Reply
Psychol Res. 2008 Nov 21. [Epub ahead of print]Click here to read Links
Lifespan development of stimulus-response conflict cost: similarities and differences between maturation and senescence.
Li SC, Hämmerer D, Müller V, Hommel B, Lindenberger U.
Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany, shuchen@mpib-berlin.mpg.de.
Age gradient of the mechanism of stimulus-response conflict cost was investigated in a population-based representative sample of 291 individuals, covering the age range from 6 to 89 years. Stimulus-response conflict cost, indicated by the amount of additional processing time required when there is a conflict between stimulus and response options, follows a U-shaped function across the lifespan. Lifespan age gradient of conflict cost parallels closely those of processing fluctuation and fluid intelligence. Individuals at both ends of the lifespan displayed a greater amount of processing fluctuation and at the same time a larger amount of conflict cost and a lower level of fluid intelligence. After controlling for chronological age and baseline processing speed, conflict cost continues to correlate significantly with fluid intelligence in adulthood and old age and with processing fluctuation in old age. The relation between processing fluctuation and conflict cost in old age lends further support for the neuromodulation of neuronal noise theory of cognitive aging as well as for theories of dopaminergic modulation of conflict monitoring.
what i want to know...
what was the age corresponding to the nadir of this "U" shaped relation and (pending answer)...
what was the age of death of the typical ancestor at the time when our genetic code was (mostly) built?
are these ages the same, or similar?
effin' dopamine...
Lifespan development of stimulus-response conflict cost: similarities and differences between maturation and senescence.
Li SC, Hämmerer D, Müller V, Hommel B, Lindenberger U.
Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany, shuchen@mpib-berlin.mpg.de.
Age gradient of the mechanism of stimulus-response conflict cost was investigated in a population-based representative sample of 291 individuals, covering the age range from 6 to 89 years. Stimulus-response conflict cost, indicated by the amount of additional processing time required when there is a conflict between stimulus and response options, follows a U-shaped function across the lifespan. Lifespan age gradient of conflict cost parallels closely those of processing fluctuation and fluid intelligence. Individuals at both ends of the lifespan displayed a greater amount of processing fluctuation and at the same time a larger amount of conflict cost and a lower level of fluid intelligence. After controlling for chronological age and baseline processing speed, conflict cost continues to correlate significantly with fluid intelligence in adulthood and old age and with processing fluctuation in old age. The relation between processing fluctuation and conflict cost in old age lends further support for the neuromodulation of neuronal noise theory of cognitive aging as well as for theories of dopaminergic modulation of conflict monitoring.
what i want to know...
what was the age corresponding to the nadir of this "U" shaped relation and (pending answer)...
what was the age of death of the typical ancestor at the time when our genetic code was (mostly) built?
are these ages the same, or similar?
effin' dopamine...
medicalstudent | 3 years ago
Reply
