Individual differences in working memory, secondary memory, and fluid intelligence: Evidence from the levels-of-processing span task.

2013 ◽  
Vol 67 (4) ◽  
pp. 260-270 ◽  
Author(s):  
Nathan S. Rose
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Fluid Intelligence ◽  
Span Task ◽  
Secondary Memory ◽  
Levels Of Processing

scholarly journals Home assessment of visual working memory in pre-schoolers reveals associations between behaviour, brain activation and environmental measures.

2020 ◽  
Author(s):  
Sobanawartiny Wijeakumar ◽  
Eva Rafetseder ◽  
Yee Lee Shing ◽  
Courtney McKay
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Visual Working Memory ◽  
School Children ◽  
Life Stress ◽  
Fluid Intelligence ◽  
Colour Change ◽  
Stressful Events ◽  
The Difference ◽  
Parietal Cortices

Visual working memory (VWM) is reliably predictive of fluid intelligence and academic achievements. The objective of the current study was to investigate the nature of individual differences in pre-schoolers by examining the relationship between behaviour-brain function underlying VWM processing and parent-reported measures. We used a portable 8 x 8 channel functional near-infrared spectroscopy system to record from the frontal and parietal cortices of 4.5-year-old pre-school children (N=74) as they completed a colour change detection VWM task in their homes. Parents were asked to fill in questionnaires on temperament, academic aspirations, home environment, and life stress. Children were median-split into a low-performing (LP) and a high-performing (HP) group based on the number of items they could successfully remember during the task. LPs increasingly activated the bilateral frontal and parietal cortices with increasing load, whereas HPs showed no difference in activation across the loads. Our findings suggested that LPs recruited more neural resources when their VWM capacity was challenged. We employed mediation analyses to examine the association between the difference in activation between the highest and lowest loads, and variables from the questionnaires. The difference in activation in the right parietal cortex partially mediated the association between parent-reported stressful life events and VWM performance. Specifically, a higher number of stressful events was associated with lower VWM performance. Critically, our findings show that the association between VWM capacity, right parietal activation, and indicators of life stress is important to understand the nature of individual differences in VWM in pre-school children.

scholarly journals Working memory and fluid intelligence: Capacity, attention control, and secondary memory retrieval

2014 ◽  
Vol 71 ◽  
pp. 1-26 ◽  
Author(s):  
Nash Unsworth ◽  
Keisuke Fukuda ◽  
Edward Awh ◽  
Edward K. Vogel
Keyword(s):  
Working Memory ◽  
Memory Retrieval ◽  
Fluid Intelligence ◽  
Attention Control ◽  
Secondary Memory

scholarly journals Is baseline pupil size related to cognitive ability? Yes (under proper lighting conditions).

2020 ◽  
Author(s):  
Jason S. Tsukahara ◽  
Randall W Engle
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Cognitive Ability ◽  
Pupil Size ◽  
Large Scale ◽  
Fluid Intelligence ◽  
Functional Organization ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Lighting Conditions

We found that individual differences in baseline pupil size correlated with fluid intelligence and working memory capacity. Larger pupil size was associated with higher cognitive ability. However, other researchers have not been able to replicate our 2016 finding – though they only measured working memory capacity and not fluid intelligence. In a reanalysis of Tsukahara et al. (2016) we show that reduced variability on baseline pupil size will result in a higher probability of obtaining smaller and non-significant correlations with working memory capacity. In two large-scale studies, we demonstrated that reduced variability in baseline pupil size values was due to the monitor being too bright. Additionally, fluid intelligence and working memory capacity did correlate with baseline pupil size except in the brightest lighting conditions. Overall, our findings demonstrated that the baseline pupil size – working memory capacity relationship was not as strong or robust as that with fluid intelligence. Our findings have strong methodological implications for researchers investigating individual differences in task-free or task-evoked pupil size. We conclude that fluid intelligence does correlate with baseline pupil size and that this is related to the functional organization of the resting-state brain through the locus coeruleus-norepinephrine system.

Exploring the Relations Among Executive Functions, Fluid Intelligence, and Personality

2009 ◽  
Vol 30 (4) ◽  
pp. 194-200 ◽  
Author(s):  
Nash Unsworth ◽  
Joshua D. Miller ◽  
Chad E. Lakey ◽  
Diana L. Young ◽  
J. Thadeus Meeks ◽  
...  
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Personality Disorder ◽  
Executive Functions ◽  
Latent Variables ◽  
Fluid Intelligence ◽  
Factor Model ◽  
Five Factor Model ◽  
Unified Field ◽  
Goal Directed Behavior

Executive functions (EFs) are important for goal-directed behavior and have been linked with a number of important constructs like intelligence. The current study examined the link between EFs and aspects of normal and abnormal personality. Latent variables of working memory, fluency, response inhibition, and vigilance EFs were examined along with fluid intelligence (gF). It was found that the EFs were separate yet correlated, and that each was related to gF. Furthermore, it was found that aspects of personality as measured by the Five-Factor Model and the BIS/BAS were differentially related to the EFs and gF. Examination of personality disorder measures also demonstrated differential relationships with the EFs and gF. The results suggest a number of systematic and important links between EFs and personality and suggest the need for a more unified field of individual differences.

Individual Differences in Attention Control

2020 ◽  
pp. 175-211
Author(s):  
Cody A. Mashburn ◽  
Jason S. Tsukahara ◽  
Randall W. Engle
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Fluid Intelligence ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Attention Control ◽  
Executive Attention ◽  
Attention Theory ◽  
Attentional Resources ◽  
The Relationship

This chapter outlines the executive attention theory of higher-order cognition, which argues that individual differences in the ability to maintain information in working memory and disengage from irrelevant information is inextricably linked to variation in the ability to deploy domain-free attentional resources in a goal-directed fashion. It also summarizes recent addendums to the theory, particularly regarding the relationship between attention control, working memory capacity, and fluid intelligence. Specifically, the chapter argues that working memory capacity and fluid intelligence measures require different allocations of the same attentional resources, a fact which accounts for their strong correlation. At various points, it addresses theoretical alternatives to the executive attention theory of working memory capacity and empirical complications of the study of attention control, including difficulties deriving coherent attention control latent factors.

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