Computational principles of sensorimotor control that minimize uncertainty and variability.
about
Bodily Experience in Schizophrenia: Factors Underlying a Disturbed Sense of Body OwnershipAttentional demands influence vocal compensations to pitch errors heard in auditory feedback.Reinforcing saccadic amplitude variabilitySensorimotor enhancement in mouse mutants lacking the Purkinje cell-specific Gi/o modulator, Pcp2(L7).How voluntary actions modulate time perception.The impact of the stimulation frequency on closed-loop control with electrotactile feedbackHow does our motor system determine its learning rate?Mere expectation to move causes attenuation of sensory signalsGrasping objects with environmentally induced position uncertaintyProximal versus distal control of two-joint planar reaching movements in the presence of neuromuscular noise.Compensation for changing motor uncertainty.Neuromotor noise, error tolerance and velocity-dependent costs in skilled performance.The effect of sensory uncertainty due to amblyopia (lazy eye) on the planning and execution of visually-guided 3D reaching movements.Mini-max feedback control as a computational theory of sensorimotor control in the presence of structural uncertaintyWhen kinesthesia becomes visual: a theoretical justification for executing motor tasks in visual space.Cerebellar metabolic involvement and its correlations with clinical parameters in vestibular neuritis.Force dysmetria in spinocerebellar ataxia 6 correlates with functional capacityMotor lateralization is characterized by a serial hybrid control schemeThe role of feed-forward and feedback processes for closed-loop prosthesis controlPhysical Demand but Not Dexterity Is Associated with Motor Flexibility during Rapid Reaching in Healthy Young AdultsHow Weight Affects the Perceived Spacing between the Thumb and Fingers during Grasping.Reward Pays the Cost of Noise Reduction in Motor and Cognitive Control.Cerebellar involvement in motor but not sensory adaptation.Identification of intermittent control in man and machine.Adaptation to random and systematic errors: Comparison of amputee and non-amputee control interfaces with varying levels of process noise.Selective control of gait subtasks in robotic gait training: foot clearance support in stroke survivors with a powered exoskeletonInfluence of uncertainty and surprise on human corticospinal excitability during preparation for action.Healthy and dystonic children compensate for changes in motor variability.Activity in ventral premotor cortex is modulated by vision of own hand in action.Dissociating vestibular and somatosensory contributions to spatial orientationCorollary discharge circuits in the primate brain.State dependence of network output: modeling and experiments.Fatigue effect on low-frequency force fluctuations and muscular oscillations during rhythmic isometric contractionMovement variability and skills monitoring in sports.Echoes on the motor network: how internal motor control structures afford sensory experience.Tactile suppression in goal-directed movement.Stability radius as a method for comparing the dynamics of neuromechanical systems.Adaptation to sensory-motor reflex perturbations is blind to the source of errorsWrist Proprioception: Amplitude or Position Coding?Plantar Sole Unweighting Alters the Sensory Transmission to the Cortical Areas.
P2860
Q26744648-77FDB1DF-46BF-48D4-8743-AB2AA89FAFC4Q30428567-584CBB20-60BA-4147-8CE6-C98FD1888FC6Q30473974-948762BC-EBC4-4BDD-85BB-E10614CEC356Q30484409-69D95AE8-8D86-4E9D-94DE-F79DC06FF76AQ30488823-650F1321-AC27-4DAD-AED4-464842C17CE3Q30641513-92B44100-C09E-42BA-B59B-732D2CEB6B0BQ31107006-47FFA5FE-4077-4EFB-BCD6-F6BF119A3757Q33358042-EBD5ADAD-D086-4AF5-AD7A-A60299E4DD02Q33510910-EB7497FB-237D-47C7-964E-1ECB5E765851Q33626852-D5F320BF-9D66-46A2-BA8D-F072C99279CCQ33747554-27F33130-5099-4607-9F9D-D9B63E695AB0Q34037638-56E93EA7-1ABB-4BE0-B671-F306C9E37E95Q34170480-9D053409-FA3C-433E-8BC2-C3AF1F8B83AFQ34237200-E799F265-DD5B-4F8B-8A63-0270F764C004Q34827482-84200263-F0E9-4252-9E46-5DBB07A61915Q35216928-5B052FD9-08C7-448E-9BBD-189225B2B2D0Q35316903-B36654E9-B6E9-4CEC-AA4A-DE5BB2D7FF2FQ35419169-CBCA80FC-96EE-4C28-A065-7CAE9AB9A742Q35582740-0EC1161D-1CA6-4818-9E10-714A51499BD5Q35602988-F1EC8656-683D-4355-954C-E81DB09445F8Q35634165-CD7E3CDE-DCE4-411A-98EC-C5F2511BE6FAQ36019926-723EBE42-AB0C-43BD-9B02-824E9D1C8E5DQ36074813-18CF4DBC-70EA-4E4D-9CD4-77CB39B0AA40Q36119241-A8512F7B-C726-43E5-B1CE-0D3E14F4946BQ36310548-AF2A85DC-0A10-4A10-8679-74A1D857D4AEQ36649072-46E635A2-2EEE-4FF8-BE81-80D23EC451A4Q36663386-EA35BF2C-C763-4092-968F-CEE07232524AQ36771061-52EA6EB1-C7DD-4F0E-93AF-8CC945F9A366Q37004952-5F601AB1-6E4E-47FD-BFF3-6A8A2AC5A0C2Q37127745-D46E8778-1246-456C-8DB7-9B3F11366181Q37291747-008C5F65-551C-4D88-BD93-665AEFC414DCQ37324004-187A51EE-8BCC-4EDB-AAA0-89C215BAAD00Q37499539-F055B921-2050-430A-870A-B007C1ABF1B0Q38125208-3AA79630-54D1-4A8E-8603-255F4E43F5E9Q38645261-A01853DB-7EE0-4C40-91AB-7C5FA0093C59Q38789603-9D7C72D8-2819-41D6-878A-150551062A28Q39314705-E9F4C49F-D18D-4B82-ADB9-40A3218651D2Q40718719-3A2E76E4-999D-43B2-9574-431BFE6711E1Q41499612-8F8B872B-A267-428D-B66C-C6B34B0BA3E8Q41850244-2413A6FB-0DB2-4AB5-8F86-CD7765D27A1A
P2860
Computational principles of sensorimotor control that minimize uncertainty and variability.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
Computational principles of se ...... e uncertainty and variability.
@ast
Computational principles of se ...... e uncertainty and variability.
@en
type
label
Computational principles of se ...... e uncertainty and variability.
@ast
Computational principles of se ...... e uncertainty and variability.
@en
prefLabel
Computational principles of se ...... e uncertainty and variability.
@ast
Computational principles of se ...... e uncertainty and variability.
@en
P2860
P1476
Computational principles of se ...... e uncertainty and variability.
@en
P2860
P304
P356
10.1113/JPHYSIOL.2006.120121
P407
P577
2006-09-28T00:00:00Z