Dav Clark
University of California, Berkeley
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Featured researches published by Dav Clark.
Frontiers in Human Neuroscience | 2015
Dav Clark; Frank Schumann; Stewart H. Mostofsky
Bodily movement has long been employed as a foundation for cultivating mental skills such as attention, self-control or mindfulness, with recent studies documenting the positive impacts of mindful movement training, such as yoga and tai chi. A parallel “mind-body connection” has also been observed in many developmental disorders. We elaborate a spectrum of mindfulness by considering ADHD, in which deficient motor control correlates with impaired (disinhibited) behavioral control contributing to defining features of excessive distractibility and impulsivity. These data provide evidence for an important axis of variation for wellbeing, in which skillful cognitive control covaries with a capacity for skillful movement. We review empirical and theoretical literature on attention, cognitive control, mind wandering, mindfulness and skill learning, endorsing a model of skilled attention in which motor plans, attention, and executive goals are seen as mutually co-defining aspects of skilled behavior that are linked by reciprocal inhibitory and excitatory connections. Thus, any movement training should engage “higher-order” inhibition and selection and develop a repertoire of rehearsed procedures that coordinate goals, attention and motor plans. However, we propose that mindful movement practice may improve the functional quality of rehearsed procedures, cultivating a transferrable skill of attention. We adopt Langer’s spectrum of mindful learning that spans from “mindlessness” to engagement with the details of the present task and contrast this with the mental attitudes cultivated in standard mindfulness meditation. We particularly follow Feldenkrais’ suggestion that mindful learning of skills for organizing the body in movement might transfer to other forms of mental activity. The results of mindful movement training should be observed in multiple complementary measures, and may have tremendous potential benefit for individuals with ADHD and other populations.
Wiley Interdisciplinary Reviews: Cognitive Science | 2010
Dav Clark; Richard B. Ivry
Motor learning is a ubiquitous feature of human competence. This review focuses on two particular classes of model tasks for studying skill acquisition. The serial reaction time (SRT) task is used to probe how people learn sequences of actions, while adaptation in the context of visuomotor or force field perturbations serves to illustrate how preexisting movements are recalibrated in novel environments. These tasks highlight important issues regarding the representational changes that occur during the course of motor learning. One important theme is that distinct mechanisms vary in their information processing costs during learning and performance. Fast learning processes may require few trials to produce large changes in performance but impose demands on cognitive resources. Slower processes are limited in their ability to integrate complex information but minimally demanding in terms of attention or processing resources. The representations derived from fast systems may be accessible to conscious processing and provide a relatively greater measure of flexibility, while the representations derived from slower systems are more inflexible and automatic in their behavior. In exploring these issues, we focus on how multiple neural systems may interact and compete during the acquisition and consolidation of new behaviors. Copyright
Topics in Cognitive Science | 2016
Michael Ranney; Dav Clark
Frontiers | 2011
Krzysztof J. Gorgolewski; Christopher D. Burns; Cindee Madison; Dav Clark; Yaroslav O. Halchenko; Michael L. Waskom; Satrajit S. Ghosh
Cognitive Science | 2012
Michael Ranney; Dav Clark; Daniel Reinholz; Sarah Cohen
Cognitive Science | 2013
Dav Clark; Michael Ranney; Jacqueline Felipe
international conference of learning sciences | 2010
Dav Clark; Michael Ranney
Proceedings of the 13th Python in Science Conference | 2014
Dav Clark; Aaron Culich; Brian Hamlin; Ryan Lovett
16th Annual Meeting of the Organization for Human Brain Mapping | 2010
Satrajit S. Ghosh; Christopher D. Burns; Dav Clark; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Cindee Madison; Rosalia Tungaraza; Jarrod Millman
Data Science Journal | 2016
Daniel Turek; Anthony Suen; Dav Clark