scholarly article | Q13442814 |
P50 | author | Ilana Nisky | Q41429530 |
P2093 | author name string | Anthony M Jarc | |
P2860 | cites work | The case for and against muscle synergies | Q24652206 |
The coordination of arm movements: an experimentally confirmed mathematical model | Q28235524 | ||
Toward a new theory of motor synergies | Q28241900 | ||
Temporal structure of motor variability is dynamically regulated and predicts motor learning ability. | Q28647120 | ||
The database for reaching experiments and models | Q28661596 | ||
The manipulative complexity of Lower Paleolithic stone toolmaking | Q28748619 | ||
Modeling of Tool-Tissue Interactions for Computer-Based Surgical Simulation: A Literature Review | Q28749145 | ||
Spatial control of arm movements | Q30458661 | ||
Principles of sensorimotor learning | Q30463928 | ||
Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review | Q30477351 | ||
Body-goal variability mapping in an aiming task. | Q33234766 | ||
Breaking it down is better: haptic decomposition of complex movements aids in robot-assisted motor learning | Q33587985 | ||
In praise of "false" models and rich data | Q33780051 | ||
Virtual reality robotic surgery warm-up improves task performance in a dry laboratory environment: a prospective randomized controlled study | Q33849019 | ||
Can robots help the learning of skilled actions? | Q34001789 | ||
Motor variability arises from a slow random walk in neural state. | Q34123824 | ||
Optimal feedback control as a theory of motor coordination | Q34156556 | ||
Modular organization of internal models of tools in the human cerebellum. | Q34191689 | ||
Motor memory is encoded as a gain-field combination of intrinsic and extrinsic action representations | Q34308325 | ||
Linear combinations of primitives in vertebrate motor control | Q34331717 | ||
Coordination of degrees of freedom and stabilization of task variables in a complex motor skill: expertise-related differences in cello bowing. | Q34460040 | ||
Motor primitives in vertebrates and invertebrates | Q34465884 | ||
Extending the body to virtual tools using a robotic surgical interface: evidence from the crossmodal congruency task | Q34506863 | ||
Decomposition of variability in the execution of goal-oriented tasks: three components of skill improvement | Q48560099 | ||
Does the motor control system use multiple models and context switching to cope with a variable environment? | Q48650014 | ||
Generalized approach for modeling minimally invasive surgery as a stochastic process using a discrete Markov model. | Q50480687 | ||
Grip force control during virtual object interaction: effect of force feedback,accuracy demands, and training. | Q50617160 | ||
Modelling and evaluation of surgical performance using hidden Markov models. | Q50774118 | ||
Separate adaptive mechanisms for controlling trajectory and final position in reaching. | Q50897517 | ||
Uncontrolled manifold analysis of arm joint angle variability during robotic teleoperation and freehand movement of surgeons and novices. | Q51073921 | ||
Towards automatic skill evaluation: detection and segmentation of robot-assisted surgical motions. | Q51100444 | ||
Fundamentals of robotic surgery: a course of basic robotic surgery skills based upon a 14-society consensus template of outcomes measures and curriculum development. | Q51138539 | ||
Construct validity of nine new inanimate exercises for robotic surgeon training using a standardized setup. | Q51156636 | ||
Force feedback facilitates multisensory integration during robotic tool use. | Q51225030 | ||
Meshless algorithm for soft tissue cutting in surgical simulation. | Q51323875 | ||
In vivo validation of a system for haptic feedback of tool vibrations in robotic surgery. | Q51343050 | ||
Face, content and construct validity of a novel robotic surgery simulator. | Q51545735 | ||
Objective evaluation of expert and novice performance during robotic surgical training tasks. | Q51887549 | ||
Manipulating objects with internal degrees of freedom: evidence for model-based control. | Q52118031 | ||
Spatial generalization from learning dynamics of reaching movements. | Q52164483 | ||
Human cerebellar activity reflecting an acquired internal model of a new tool. | Q52171465 | ||
Learning of visuomotor transformations for vectorial planning of reaching trajectories. | Q52171871 | ||
Surgeons and non-surgeons prefer haptic feedback of instrument vibrations during robotic surgery. | Q53353690 | ||
A Regression and Boundary-Crossing-Based Model for the Perception of Delayed Stiffness | Q61058948 | ||
Constrained and unconstrained movements involve different control strategies | Q73185740 | ||
Gaze-contingent motor channelling and haptic constraints for minimally invasive robotic surgery | Q79783945 | ||
Movement variability in the golf swing: theoretical, methodological, and practical issues | Q84427515 | ||
Surgical Task and Skill Classification from Eye Tracking and Tool Motion in Minimally Invasive Surgery | Q85108646 | ||
Tool Contact Acceleration Feedback for Telerobotic Surgery | Q87434678 | ||
Modelling of non-linear elastic tissues for surgical simulation | Q34631840 | ||
Neural correlates of reach errors | Q34684032 | ||
A virtual training system for maxillofacial surgery using advanced haptic feedback and immersive workbench. | Q34747264 | ||
Optimizing effort: increased efficiency of motor memory with time away from practice | Q34980559 | ||
Motor learning through the combination of primitives | Q35212958 | ||
A memory of errors in sensorimotor learning | Q35863878 | ||
Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains | Q35895127 | ||
The role of kinematic redundancy in adaptation of reaching | Q35933923 | ||
Motor control and learning in altered dynamic environments | Q36306841 | ||
Trial-to-trial dynamics and learning in a generalized, redundant reaching task | Q36533212 | ||
Haptic feedback in robot-assisted minimally invasive surgery | Q37240239 | ||
Variability in motor learning: relocating, channeling and reducing noise | Q37373553 | ||
Coding and use of tactile signals from the fingertips in object manipulation tasks | Q37437219 | ||
Face, content, and construct validity of dV-trainer, a novel virtual reality simulator for robotic surgery | Q37441895 | ||
Motor learning by field approximation | Q37621261 | ||
Motor learning of novel dynamics is not represented in a single global coordinate system: evaluation of mixed coordinate representations and local learning | Q37629768 | ||
The coordination of movement: optimal feedback control and beyond | Q37652417 | ||
Human sensorimotor learning: adaptation, skill, and beyond. | Q37901909 | ||
Current status of validation for robotic surgery simulators - a systematic review. | Q38016568 | ||
Content and construct validation of a robotic surgery curriculum using an electromagnetic instrument tracker | Q38028152 | ||
Robotic surgical simulation | Q38092993 | ||
Use of the uncontrolled manifold (UCM) approach to understand motor variability, motor equivalence, and self-motion | Q38261480 | ||
The Role of Haptics in Medical Training Simulators: A Survey of the State of the Art. | Q38768224 | ||
Effects of robotic manipulators on movements of novices and surgeons | Q39251955 | ||
Evidence for predictive control in lifting series of virtual objects | Q39878409 | ||
Validation of surgical simulators | Q40221877 | ||
In Experts, underlying processes that drive visuomotor adaptation are different than in Novices | Q42076229 | ||
Separate contributions of kinematic and kinetic errors to trajectory and grip force adaptation when transporting novel hand-held loads | Q43726841 | ||
Coordination strategies used in stone knapping | Q44086890 | ||
A study of psychomotor skills in minimally invasive surgery: what differentiates expert and nonexpert performance | Q44178487 | ||
Raven-II: an open platform for surgical robotics research | Q44976291 | ||
Most probable longest common subsequence for recognition of gesture character input | Q45309992 | ||
Fundamental skills of robotic surgery: a multi-institutional randomized controlled trial for validation of a simulation-based curriculum | Q45723213 | ||
Minimum acceleration with constraints of center of mass: a unified model for arm movements and object manipulation. | Q45974349 | ||
Learning and generalization in an isometric visuomotor task | Q46909407 | ||
da Vinci Skills Simulator construct validation study: correlation of prior robotic experience with overall score and time score simulator performance | Q47615290 | ||
Adaptive representation of dynamics during learning of a motor task | Q48126188 | ||
P407 | language of work or name | English | Q1860 |
P921 | main subject | neurosurgery | Q188449 |
P304 | page(s) | 315 | |
P577 | publication date | 2015-01-01 | |
P1433 | published in | Frontiers in Human Neuroscience | Q15727054 |
P1476 | title | Robot-assisted surgery: an emerging platform for human neuroscience research | |
P478 | volume | 9 |
Q90705546 | Bioinspired Implementation and Assessment of a Remote-Controlled Robot |
Q59135713 | Robot-assisted laser tissue soldering system |
Q92683192 | Steering and control of miniaturized untethered soft magnetic grippers with haptic assistance |
Q89619833 | Surgeon-Centered Analysis of Robot-Assisted Needle Driving Under Different Force Feedback Conditions |
Q39597066 | Viewpoint matters: objective performance metrics for surgeon endoscope control during robot-assisted surgery |
Search more.