The Brain Clock Blog: Tracking the "pulse" of contemporary research and theory regarding the psychology/neuroscience of brain-based mental time keeping (aka, the Brain Clock). In addition, the relevance of neuroscience research to learning/education will also be covered. A sister blog to "IQs Corner" (www.iqscorner.com)
The Neural Correlates of Speech Motor Sequence Learning
Segawa, Jennifer A.; Tourville, Jason A.; Beal, Deryk S.; Guenther, Frank H.
Journal of Cognitive Neuroscience, Vol. 27 Issue 4 – 2015: 819 - 831
Very good article that does not support Chuderski's research that had suggested a relationship between time on task (not the same as cognitive processing speed-Gs) and fluid reasoning or working memory. The current study reinforces the very high (but not 1.0) effect size from working memory to Gf. However, how much time an individual (at least for young adults) spends on working memory or fluid tasks does not explain the strong WM--Gf relation. Generalization to children and the elderly cannot be made without further research.
What I find particularly interesting is the authors hypothesis that one possible general mechanism explanation for the WM-->Gf link is temporal based processing of information. This is consistent with the temporal power resolution hypotheses (or temporal g) of Rammsayer and colleagues and a large body of research I have reported at the Brain Clock blog. If you visit that link, pay particular attention to the MindHub Pub2 that presents a three-level hypothesized model for understanding the IM effect. Note that at the lowest neurocognitive and biological level of intelligence research, I have hypothesized that temporal g (and not Jensen's reaction time g) may be one of the key domain-general mechanisms driving critical cognitive abilities, especially working memory and fluid intelligence.
As per the recent four-level reductionistic framework (see brief 10 minute video explanation) I have offered to organize intelligence related research (adapted from Earl Hunt's work), the current study links research at the psychometric, information processing, and neurocognitive and biological (neural efficiency) levels.
Yet more research indicating the importance of brain network connectivity, this time demonstrating the detrimental effects of smoking on brain network communication, especially with the executive control and default brain networks. Take away… smoking may impair the brain networks involved in cognitive control and make stopping smoking even more difficult.
Measuring time perspective in adolescents: Can you get the right answer by asking the wrong questions?
Perry, John L.; McKay, Michael T.; Worrell, Frank C.; Živkovič, Urška; Mello, Zena R.; Musil, Bojan
Personality and Individual Differences, Vol. 78 – 2015: 53 - 57
More research consistent with the P-FIT model of intelligence.
Levels of Processing in Working Memory: Differential Involvement of Frontotemporal Networks
Rose, Nathan S.; Craik, Fergus I. M.; Buchsbaum, Bradley R.
Journal of Cognitive Neuroscience, Vol. 27 Issue 3 – 2015: 522 - 532