Kuang, Shenbing

[["dc.bibliographiccitation.firstpage","2360"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Journal of Neurophysiology"],["dc.bibliographiccitation.lastpage","2375"],["dc.bibliographiccitation.volume","113"],["dc.contributor.author","Westendorff, Stephanie"],["dc.contributor.author","Kuang, Shenbing"],["dc.contributor.author","Taghizadeh, Bahareh"],["dc.contributor.author","Donchin, Opher"],["dc.contributor.author","Gail, Alexander"],["dc.date.accessioned","2017-09-07T11:47:49Z"],["dc.date.available","2017-09-07T11:47:49Z"],["dc.date.issued","2015"],["dc.description.abstract","Different error signals can induce sensorimotor adaptation during visually guided reaching, possibly evoking different neural adaptation mechanisms. Here we investigate reach adaptation induced by visual target errors without perturbing the actual or sensed hand position. We analyzed the spatial generalization of adaptation to target error to compare it with other known generalization patterns and simulated our results with a neural network model trained to minimize target error independent of prediction errors. Subjects reached to different peripheral visual targets and had to adapt to a sudden fixed-amplitude displacement (“jump”) consistently occurring for only one of the reach targets. Subjects simultaneously had to perform contralateral unperturbed saccades, which rendered the reach target jump unnoticeable. As a result, subjects adapted by gradually decreasing reach errors and showed negative aftereffects for the perturbed reach target. Reach errors generalized to unperturbed targets according to a translational rather than rotational generalization pattern, but locally, not globally. More importantly, reach errors generalized asymmetrically with a skewed generalization function in the direction of the target jump. Our neural network model reproduced the skewed generalization after adaptation to target jump without having been explicitly trained to produce a specific generalization pattern. Our combined psychophysical and simulation results suggest that target jump adaptation in reaching can be explained by gradual updating of spatial motor goal representations in sensorimotor association networks, independent of learning induced by a prediction-error about the hand position. The simulations make testable predictions about the underlying changes in the tuning of sensorimotor neurons during target jump adaptation."],["dc.identifier.doi","10.1152/jn.00483.2014"],["dc.identifier.gro","3150727"],["dc.identifier.pmid","25609106"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7515"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","0022-3077"],["dc.title","Asymmetric generalization in adaptation to target displacement errors in humans and in a neural network model"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","155"],["dc.bibliographiccitation.journal","Vision Research"],["dc.bibliographiccitation.lastpage","165"],["dc.bibliographiccitation.volume","110"],["dc.contributor.author","Kuang, Shenbing"],["dc.contributor.author","Gail, Alexander"],["dc.date.accessioned","2017-09-07T11:47:49Z"],["dc.date.available","2017-09-07T11:47:49Z"],["dc.date.issued","2014"],["dc.description.abstract","Previous studies have shown that short-term exposure to mirror-reversed visual feedback suppresses rapid online control (ROC) of arm movements in response to a sudden target displacement. Here we tested if the reduced ROC under reversed vision can be observed for natural reaches without target perturbations, i.e. without corrective movements that are driven by visual input perturbation. Second, we ask if such ROC reduction generalizes to movement phases without visual feedback of the hand. Subjects were instructed to perform simple reach movements towards a stationary target position either under normal or physically reversed vision of the hand during the late movement phase. We quantified time-resolved ROC via a coefficient of determination of the reach trajectories over the full course of the movement. As for other measures in previous studies, we found that our perturbation-independent ROC was reduced within a few trials after exposure to reversed visual feedback. The reduced ROC was restricted to late movement phases, and was not observed in early movement phases. We further asked if subjects would be able to re-gain ROC with prolonged exposure to the reversed visual input. ROC gradually and incompletely increased over the course of 400 exposure trials, affecting both early and late movement phases. Our results show that under reversed vision ROC is reduced even for perturbation-independent natural reaches aiming at stationary targets."],["dc.identifier.doi","10.1016/j.visres.2014.08.021"],["dc.identifier.gro","3150729"],["dc.identifier.pmid","25218421"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7517"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","0042-6989"],["dc.title","When adaptive control fails: Slow recovery of reduced rapid online control during reaching under reversed vision"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","bhu312"],["dc.bibliographiccitation.firstpage","731"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Cerebral Cortex"],["dc.bibliographiccitation.lastpage","741"],["dc.bibliographiccitation.volume","26"],["dc.contributor.author","Kuang, Shenbing"],["dc.contributor.author","Morel, Pierre"],["dc.contributor.author","Gail, Alexander"],["dc.date.accessioned","2017-09-07T11:47:44Z"],["dc.date.available","2017-09-07T11:47:44Z"],["dc.date.issued","2015"],["dc.description.abstract","Neurons in the posterior parietal cortex respond selectively for spatial parameters of planned goal-directed movements. Yet, it is still unclear which aspects of the movement the neurons encode: the spatial parameters of the upcoming physical movement (physical goal), or the upcoming visual limb movement (visual goal). To test this, we recorded neuronal activity from the parietal reach region while monkeys planned reaches under either normal or prism-reversed viewing conditions. We found predominant encoding of physical goals while fewer neurons were selective for visual goals during planning. In contrast, local field potentials recorded in the same brain region exhibited predominant visual goal encoding, similar to previous imaging data from humans. The visual goal encoding in individual neurons was neither related to immediate visual input nor to visual memory, but to the future visual movement. Our finding suggests that action planning in parietal cortex is not exclusively a precursor of impending physical movements, as reflected by the predominant physical goal encoding, but also contains spatial kinematic parameters of upcoming visual movement, as reflected by co-existing visual goal encoding in neuronal spiking. The co-existence of visual and physical goals adds a complementary perspective to the current understanding of parietal spatial computations in primates."],["dc.identifier.doi","10.1093/cercor/bhu312"],["dc.identifier.gro","3150714"],["dc.identifier.pmid","25576535"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7501"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","1047-3211"],["dc.title","Planning Movements in Visual and Physical Space in Monkey Posterior Parietal Cortex"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]