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|    ScienceDaily to All    |
|    Prediction may be key to eye-and-hand co    |
|    05 Jun 23 22:30:44    |
      MSGID: 1:317/3 647eb69c       PID: hpt/lnx 1.9.0-cur 2019-01-08       TID: hpt/lnx 1.9.0-cur 2019-01-08        Prediction may be key to eye-and-hand coordination                Date:        June 5, 2023        Source:        University of Rochester Medical Center        Summary:        Researchers have found that the ability to visually predict movement        may be an important part of the ability to make a great catch --        or grab a moving object.                      Facebook Twitter Pinterest LinkedIN Email              ==========================================================================       FULL STORY       ==========================================================================       Have you ever made a great catch -- like saving a phone from dropping into       a toilet or catching an indoor cat from running outside? Those skills --       the ability to grab a moving object -- takes precise interactions within       and between our visual and motor systems. Researchers at the Del Monte       Institute for Neuroscience at the University of Rochester have found       that the ability to visually predict movement may be an important part       of the ability to make a great catch -- or grab a moving object.              "We were able to develop a method that allowed us to analyze behaviors in       a natural environment with high precision, which is important because, as       we showed, behavioral patterns differ in a controlled setting," said Kuan       Hong Wang, PhD, a Dean's Professor of Neuroscience at the University of       Rochester Medical Center. Wang led the study out today in Current Biology       in collaboration with Jude Mitchell, PhD, assistant professor of Brain       and Cognitive Sciences at the University of Rochester, and Luke Shaw,       a graduate student in the Neuroscience Graduate Program at the School of       Medicine & Dentistry at the University of Rochester. "Understanding how       natural behaviors work will give us better insight into what is going       awry in an array of neurological disorders." Researchers used multiple       high-speed cameras and DeepLabCut -- an AI method that uses video data       to find key points on the hand and arm to measure movements -- to record       where the primate is looking and the movement of the arm and hand as it       reaches and catches moving crickets. Researchers found an 80- millisecond       delay in the animal's visuomotor behavior -- the moment when vision and       movement click and work together to direct the hand toward the target.              Despite this measurable delay, the primates still grabbed the crickets,       meaning that they had to predict the cricket's movement. Using data of       both the primates and the crickets the researchers were able to build       a detailed model of vision guided reaching behavior.              "These findings allow us to identify unique behavioral control       strategies for mechanistic studies and engineering applications,"       said Wang. "Visuomotor control problems exist in many neurological       disorders due to brain lesions, stroke, and genetic factors. This       research may help develop computational behavior analysis strategies to       precisely characterize behavioral alterations in naturalistic settings       and understand their underlying causes." This work was supported by       the National Institute of Health, the Schmitt Program of Integrative       Neuroscience, and the Del Monte Institute for Neuroscience Pilot Program.               * RELATED_TOPICS        o Mind_&_Brain        # Behavior # Neuroscience # Perception # Intelligence #        Social_Psychology # Psychology # Child_Development #        Consumer_Behavior        * RELATED_TERMS        o Intuition_(knowledge) o Aptitude o Early_childhood_education        o Autism o Mental_confusion o Psycholinguistics o        Restless_legs_syndrome o Child_prodigy              ==========================================================================       Story Source: Materials provided by       University_of_Rochester_Medical_Center. Original written by Kelsie Smith       Hayduk. Note: Content may be edited for style and length.                     ==========================================================================       Journal Reference:        1. Luke Shaw, Kuan Hong Wang, Jude Mitchell. Fast prediction in        marmoset        reach-to-grasp movements for dynamic prey. Current Biology, 2023;        DOI: 10.1016/j.cub.2023.05.032       ==========================================================================              Link to news story:       https://www.sciencedaily.com/releases/2023/06/230605180539.htm              --- up 1 year, 14 weeks, 10 hours, 51 minutes        * Origin: -=> Castle Rock BBS <=- Now Husky HPT Powered! (1:317/3)       SEEN-BY: 15/0 106/201 114/705 123/120 153/7715 218/700 226/30 227/114       SEEN-BY: 229/110 112 113 307 317 400 426 428 470 664 700 291/111 292/854       SEEN-BY: 298/25 305/3 317/3 320/219 396/45       PATH: 317/3 229/426           |
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