Neurophysiological measures of working memory and individual differences in cognitive ability and cognitive style.
By Alan S. Gevins, Michael E. Smith. Cerebral Cortex, 2000
629 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/19344a659623fba3aba1f9714fd870aa05f586d6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Andreas Fink
- Aljoscha C. Neubauer
- Maria Kozhevnikov
- Joaquín M. Fuster
- F. Coffield
- Susanne M. Jaeggi
- Martin Buschkuehl
- Walter J. Perrig
In Cognitive Neuroscience
- Richard J. Haier
- Andreas Fink
- Aljoscha C. Neubauer
- Bharat B. Biswal
- Mark D'Esposito
- Susanne M. Jaeggi
- Joaquín M. Fuster
- Christopher A. Russell
In Experimental and Cognitive Psychology
- Richard J. Haier
- Andreas Fink
- Aljoscha C. Neubauer
- Bharat B. Biswal
- Susanne M. Jaeggi
- Martin Buschkuehl
- Walter J. Perrig
- Christopher A. Russell
Citations in the corpus
- Neurophysiological measures of cognitive workload during human-computer interaction (2003, background): “…appears critical to behavioural flexibility (Goldman-Rakic 1987, 1988) and measures of it tend to be positively correlated with performance on psychometric tests of cognitive ability and other indices of scholastic aptitude (Carpenter et al. 1990, Kyllonen and Christal 1990, Gevins and Smith 2000).”
- Performance Enhancement in an Uninhabited Air Vehicle Task Using Psychophysiologically Determined Adaptive Aiding (2007, background): “Several authors have argued that psychophysiological measures are worthy candidates for this role (Byrne & Parasuraman, 1996; Gevins et al., 1998; Gevins, Smith, McEvoy, & Yu,1997; Scerbo, Freeman, & Mikulka, 2003; Wilson & Russell, 2003a, 2003b). Unlike performance and subjective measures, psychoph”
- Learning styles and pedagogy in post-16 learning: a systematic and critical review (2004, background): “Girelli and Stake (1993) confirm that introversion-extraversion, sensing-intuition and thinking-feeling are not incontrovertibly bipolar, when tested in Lickert format on 165 undergraduate and postgraduate students, since more than a quarter of the subjects in their study scored highly on both pairs”
- Theta Lingua Franca: A Common Mid-Frontal Substrate for Action Monitoring Processes (2011, neutral): “, 1999 ) and EEG ( Gevins & Smith , 2000 ; Gevins , Smith , McEvoy , & Yu , 1997 ; Gevins , Smith , McEvoy , Leong , & Le , 1999 ; Jensen & Tesche , 2002 ; Onton et al .”
- The concurrent validity of the N-back task as a working memory measure (2010, methodology): “In contrast, and consistent with previous literature (e.g., Gevins & Smith, 2000; Roberts & Gibson, 2002), the simpler WM measure, the DST, seems to be more closely related to N -back performance than the complex WM task.”
- Neural correlates of cognitive efficiency (2006, methodology): “Subsequent studies have replicated and extended these results (e.g., Gevins and Smith, 2000; Rypma et al., 2002; Grady et al., 2003; 2005; Persson et al., 2004).”
- Intelligence and neural efficiency. (2009, positive): “In studies from the authors’ lab drawing on complex reasoning or memory processes, clear-cut evidence for neural efficiency was exclusively found in males (Grabner et al., 2004; Neubauer and Fink, 2003), whereas females displayed no or even slightly positive intelligence-activation correlations. A s”
- Cortex and Memory: Emergence of a New Paradigm (2009, background): “Especially prevalent are oscillations in the theta, alpha, beta, and gamma frequencies (Sehatpour et al., 2008; Gevins & Smith, 2000), in some instances modulating one another (Lakatos et al., 2008; Canolty et al., 2006).”
- Getting the point: Tracing worked examples enhances learning (2015, background): “Evidence has shown that alpha and theta brainwave is related to cognitive load (e.g., Gevins & Smith, 2000; Gevins, Smith, McEvoy, & Yu, 1997; Sterman, Mann, Kaiser, & Suyenobu, 1994); as cognitive load increases, alpha activity decreases and theta activity increases.”
- Individual differences in general intelligence correlate with brain function during nonreasoning tasks (2003, background): “Gevins and Smith (2000) reported that in 80 normal subjects, high g was correlated with better focus and sustained attention as assessed by EEG.”