Obstacle avoidance during online corrections.

The dorsal visual stream codes information crucial to the planning and online control of target-directed reaching movements in dynamic and cluttered environments. Two specific dorsally mediated abilities are the avoidance of obstacles and the online correction for changes in target location. The current study was designed to test whether or not both of these abilities can be performed concurrently. Participants made reaches to touch a target that, on two-thirds of the trials, remained stationary and on the other third "jumped" at movement onset. Importantly, on target-jump trials, a single object (in one of four positions) sometimes became an obstacle that interfered with the reach. When a target jump caused an object to suddenly become an obstacle, we observed clear spatial avoidance behavior, an effect that was not present when the target jumped but the object did not become an obstacle. This automatic spatial avoidance was accompanied by significant velocity reductions only when the risk for collision with the obstacle was high, suggesting an "intelligent" encoding of potential obstacle locations. We believe that this provides strong evidence that the entire workspace is encoded during reach planning and that the representation of all objects in the workspace is available to the automatic online correction system.

[1]  James O. Ramsay,et al.  Functional Data Analysis , 2005 .

[2]  H. Carnahan.  Manual Asymmetries in Response to Rapid Target Movement , 1998, Brain and Cognition.

[3]  Matthew Heath,et al.  The control of goal-directed limb movements: Correcting errors in the trajectory , 1999 .

[4]  Jeroen B. J. Smeets,et al.  Avoiding moving obstacles , 2008, Experimental Brain Research.

[5]  Craig S. Chapman,et al.  Reaching for the unknown: Multiple target encoding and real-time decision-making in a rapid reach task , 2010, Cognition.

[6]  James R. Tresilian,et al.  The effect of obstacle position on reach-to-grasp movements , 2001, Experimental Brain Research.

[7]  M. Goodale,et al.  Visual control of reaching movements without vision of the limb , 1986, Experimental Brain Research.

[8]  Scott T. Grafton,et al.  Functional Anatomy of Nonvisual Feedback Loops during Reaching: A Positron Emission Tomography Study , 2001, The Journal of Neuroscience.

[9]  Michael I. Jordan,et al.  Obstacle Avoidance and a Perturbation Sensitivity Model for Motor Planning , 1997, The Journal of Neuroscience.

[10]  M. H. Fischer,et al.  Distractor Interference in Selective Reaching: Dissociating Distance and Grouping Effects , 2003, Journal of motor behavior.

[11]  W. Helsen,et al.  A century later: Woodworth's (1899) two-component model of goal-directed aiming. , 2001, Psychological bulletin.

[12]  Scott T. Grafton,et al.  Forward modeling allows feedback control for fast reaching movements , 2000, Trends in Cognitive Sciences.

[13]  D. Wolpert,et al.  Controlling the statistics of action: obstacle avoidance. , 2002, Journal of neurophysiology.

[14]  J F Kalaska,et al.  Integration of predictive feedforward and sensory feedback signals for online control of visually guided movement. , 2009, Journal of neurophysiology.

[15]  D. Elliott,et al.  Movement Trajectories in the Presence of a Distracting Stimulus: Evidence for a Response Activation Model of Selective Reaching , 2004, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[16]  B. Day,et al.  Voluntary modification of automatic arm movements evoked by motion of a visual target , 1999, Experimental Brain Research.

[17]  Emanuel Todorov,et al.  Evidence for the Flexible Sensorimotor Strategies Predicted by Optimal Feedback Control , 2007, The Journal of Neuroscience.

[18]  Frédéric Danion,et al.  Can the Human Brain Predict the Consequences of Arm Movement Corrections When Transporting an Object? Hints from Grip Force Adjustments , 2007, The Journal of Neuroscience.

[19]  S. Tipper,et al.  Selective reaching: evidence for action-centered attention. , 1992, Journal of experimental psychology. Human perception and performance.

[20]  Melvyn A. Goodale,et al.  Seeing all the obstacles in your way: the effect of visual feedback and visual feedback schedule on obstacle avoidance while reaching , 2010, Experimental Brain Research.

[21]  J. Vercher,et al.  Target and hand position information in the online control of goal-directed arm movements , 2003, Experimental Brain Research.

[22]  Steve W. C. Chang,et al.  Hand movements deviate toward distracters in the absence of response competition. , 2004, The Journal of general psychology.

[23]  J. Tresilian.  Attention in action or obstruction of movement? A kinematic analysis of avoidance behavior in prehension , 1998, Experimental Brain Research.

[24]  Jody C Culham,et al.  Is That within Reach? fMRI Reveals That the Human Superior Parieto-Occipital Cortex Encodes Objects Reachable by the Hand , 2009, The Journal of Neuroscience.

[25]  A. Milner,et al.  Automatic avoidance of obstacles is a dorsal stream function: evidence from optic ataxia , 2004, Nature Neuroscience.

[26]  James R Tresilian,et al.  Selective attention in reaching: when is an object not a distractor? , 1999, Trends in Cognitive Sciences.

[27]  H. Deubel,et al.  Attentional landscapes in reaching and grasping , 2010, Vision Research.

[28]  C. Prablanc,et al.  Large adjustments in visually guided reaching do not depend on vision of the hand or perception of target displacement , 1986, Nature.

[29]  H. Gomi.  Implicit online corrections of reaching movements , 2008, Current Opinion in Neurobiology.

[30]  M. Desmurget,et al.  An ‘automatic pilot’ for the hand in human posterior parietal cortex: toward reinterpreting optic ataxia , 2000, Nature Neuroscience.

[31]  Shin'ya Nishida,et al.  Spatiotemporal Tuning of Rapid Interactions between Visual-Motion Analysis and Reaching Movement , 2006, The Journal of Neuroscience.

[32]  L Proteau,et al.  Visual Perception Modifies Goal-directed Movement Control: Supporting Evidence from a Visual Perturbation Paradigm , 1997, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[33]  S. Tipper,et al.  Hand deviations away from visual cues: Indirect evidence for inhibition , 2006, Experimental Brain Research.

[34]  M. Heath.  Role of limb and target vision in the online control of memory-guided reaches. , 2005, Motor control.

[35]  Yann Coello,et al.  Determination of target distance in a structured environment: Selection of visual information for action , 2000 .

[36]  Melvyn A. Goodale,et al.  Missing in action: the effect of obstacle position and size on avoidance while reaching , 2008, Experimental Brain Research.

[37]  Steven P. Tipper,et al.  Action-centred negative priming: Evidence for reactive inhibition , 2002 .

[38]  James Gordon,et al.  Accuracy of planar reaching movements , 1994, Experimental Brain Research.

[39]  C. Prablanc,et al.  Automatic control during hand reaching at undetected two-dimensional target displacements. , 1992, Journal of neurophysiology.

[40]  Craig S. Chapman,et al.  “Real-time” obstacle avoidance in the absence of primary visual cortex , 2009, Proceedings of the National Academy of Sciences.

[41]  K. Nakayama,et al.  Role of focal attention on latencies and trajectories of visually guided manual pointing. , 2006, Journal of vision.

[42]  S. Glover,et al.  Separate visual representations in the planning and control of action , 2004, Behavioral and Brain Sciences.

[43]  Michael I. Jordan,et al.  The Role of Inertial Sensitivity in Motor Planning , 1998, The Journal of Neuroscience.

[44]  Uta Sailer,et al.  Global effect of a nearby distractor on targeting eye and hand movements. , 2002, Journal of experimental psychology. Human perception and performance.

[45]  E. Brenner,et al.  Fast Responses of the Human Hand to Changes in Target Position. , 1997, Journal of motor behavior.

[46]  Matthew Heath,et al.  The control of memory-guided reaching movements in peripersonal space. , 2004, Motor control.

[47]  M. Goodale,et al.  Visual control of reaching movements without vision of the limb , 2004, Experimental Brain Research.

[48]  David Whitney,et al.  The influence of visual motion on fast reaching movements to a stationary object , 2003, Nature.

[49]  Scott T. Grafton,et al.  Role of the posterior parietal cortex in updating reaching movements to a visual target , 1999, Nature Neuroscience.

[50]  Heinrich H Bülthoff,et al.  Seeing the hand while reaching speeds up on‐line responses to a sudden change in target position , 2009, The Journal of physiology.

[51]  J. Kalaska,et al.  Simultaneous encoding of multiple potential reach directions in dorsal premotor cortex. , 2002, Journal of neurophysiology.

[52]  Romeo Chua,et al.  Dual-target interference for the ‘automatic pilot’ in the dorsal stream , 2007, Experimental Brain Research.

[53]  D. H. Mellor,et al.  Real time , 1981 .

[54]  J. Kalaska,et al.  Neural Correlates of Reaching Decisions in Dorsal Premotor Cortex: Specification of Multiple Direction Choices and Final Selection of Action , 2005, Neuron.

[55]  Romeo Chua,et al.  Discrete vs. continuous visual control of manual aiming , 1991 .

[56]  J. F. Soechting,et al.  Modification of trajectory of a pointing movement in response to a change in target location. , 1983, Journal of neurophysiology.

[57]  Shin'ya Nishida,et al.  Large-Field Visual Motion Directly Induces an Involuntary Rapid Manual Following Response , 2005, The Journal of Neuroscience.

[58]  Scott T. Grafton,et al.  A lesion of the posterior parietal cortex disrupts on-line adjustments during aiming movements , 2002, Neuropsychologia.