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History (27)
Oral human papillomavirus infection among drug users in Puerto Rico.
National Hispanic Science Network fellow at the University of Houston, Summer Research Training
COMPARING THE EFFECTIVENESS OF TWO FORMS OF TIME-SPACE SAMPLING TO IDENTIFY CLUB DRUG-USING YOUNG ADULTS.
Yousefipour, Zivar
Mortality Related to Chronic Obstructive Pulmonary Disease and Co-morbidities in the United States, A Multiple Causes of Death Analysis.
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Ingram, James
One or more keywords matched the following items that are connected to
Ingram, James
Item Type
Name
Concept
Learning
Academic Article
Simultaneous bimanual dynamics are learned without interference.
Academic Article
A modular planar robotic manipulandum with end-point torque control.
Academic Article
Context-dependent partitioning of motor learning in bimanual movements.
Academic Article
A single-rate context-dependent learning process underlies rapid adaptation to familiar object dynamics.
Academic Article
Context-dependent decay of motor memories during skill acquisition.
Academic Article
Composition and decomposition in bimanual dynamic learning.
Academic Article
Separate representations of dynamics in rhythmic and discrete movements: evidence from motor learning.
Academic Article
Enhanced crosslimb transfer of force-field learning for dynamics that are identical in extrinsic and joint-based coordinates for both limbs.
Academic Article
An error-tuned model for sensorimotor learning.
Academic Article
Adaptive coupling influences generalization of sensorimotor learning.
Academic Article
Unimodal statistical learning produces multimodal object-like representations.
Academic Article
Imagery of movements immediately following performance allows learning of motor skills that interfere.
Academic Article
The visual geometry of a tool modulates generalization during adaptation.
Academic Article
Age-related reduction in motor adaptation: brain structural correlates and the role of explicit memory.
Academic Article
Motor memories of object dynamics are categorically organized.
Academic Article
Object weight can be rapidly predicted, with low cognitive load, by exploiting learned associations between the weights and locations of objects.
Search Criteria
Learning