SENSORY MOTOR COUPLING Overview
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A Revised Computational Neuroanatomy for Motor Control
This is the author’s final version; this article has been accepted for publication in the Journal of Cognitive Neuroscience 1 A Revised Computational Neuroanatomy for Motor Control 2 Shlomi Haar1, Opher Donchin2,3 3 1. Department of BioEngineering, Imperial College London, UK 4 2. Department of Biomedical Engineering, Ben-Gurion University of the Negev, Israel 5 3. Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Israel 6 7 Corresponding author: Shlomi Haar ([email protected]) 8 Imperial College London, London, SW7 2AZ, UK 9 10 Acknowledgements: We would like to thank Ilan Dinstein, Liad Mudrik, Daniel Glaser, Alex Gail, and 11 Reza Shadmehr for helpful discussions about the manuscript. Shlomi Haar is supported by the Royal 12 Society – Kohn International Fellowship (NF170650). Work on this review was partially supported by 13 DFG grant TI-239/16-1. 14 15 Abstract 16 We discuss a new framework for understanding the structure of motor control. Our approach 17 integrates existing models of motor control with the reality of hierarchical cortical processing and the 18 parallel segregated loops that characterize cortical-subcortical connections. We also incorporate the recent 19 claim that cortex functions via predictive representation and optimal information utilization. Our 20 framework assumes each cortical area engaged in motor control generates a predictive model of a different 21 aspect of motor behavior. In maintaining these predictive models, each area interacts with a different part 22 of the cerebellum and basal ganglia. These subcortical areas are thus engaged in domain appropriate 23 system identification and optimization. This refocuses the question of division of function among different 24 cortical areas. -
Guide to Sensory Processing.Pdf
Guide to Sensory Processing Prepared by Allison Travnik, MSOTS Level II Fieldwork Student Project Kavitha N Krishnan MS OTR/L Fieldwork Instructor Sensory Processing In order to understand what is going on around us, we need to organize all of the incoming sensory information (Ayres, 2005). The sensory information involves what we see, smell, taste, hear, feel on our body, where our body is in relation to others, and how well we are balanced. This is a lot of information that our brains need to process in order to engage in productive behavior, learn, and form accurate perceptions. Proprioceptive Where are body is in space Tactile Auditory What we feel The noise on our skin around us Sensory Smell Processing The Sight difference What we see scents around us around us Oral Sensory Processing Vestibular The sensations Jean Ayres developed the sensory Our sense of Disorder + balance that food give integration (SI) theory. SI gives us in our mouth meaning to what our senses are recognizing. When the sensations are not being organized properly may notice some of the same qualities in the brain, Ayres compared it to about yourself.It is important to a traffic jam. The traffic jam of remember that everyone has some sensory information can lead to quirks about their sensory processing learning difficulties and problem whether it be a sensitivity to loud behavior (Ayres, 2005). Children noises or dislike of light touch. with Sensory Processing Disorder However the identification of SPD is (SPD) are struggling with this reserved for individuals whose traffic jam. sensory quirks are outside of the Sensory processing is a typical range and affect their daily dynamic and complex theory. -
Understanding Sensory Processing: Looking at Children's Behavior Through the Lens of Sensory Processing
Understanding Sensory Processing: Looking at Children’s Behavior Through the Lens of Sensory Processing Communities of Practice in Autism September 24, 2009 Charlottesville, VA Dianne Koontz Lowman, Ed.D. Early Childhood Coordinator Region 5 T/TAC James Madison University MSC 9002 Harrisonburg, VA 22807 [email protected] ______________________________________________________________________________ Dianne Koontz Lowman/[email protected]/2008 Page 1 Looking at Children’s Behavior Through the Lens of Sensory Processing Do you know a child like this? Travis is constantly moving, pushing, or chewing on things. The collar of his shirt and coat are always wet from chewing. When talking to people, he tends to push up against you. Or do you know another child? Sierra does not like to be hugged or kissed by anyone. She gets upset with other children bump up against her. She doesn’t like socks with a heel or toe seam or any tags on clothes. Why is Travis always chewing? Why doesn’t Sierra liked to be touched? Why do children react differently to things around them? These children have different ways of reacting to the things around them, to sensations. Over the years, different terms (such as sensory integration) have been used to describe how children deal with the information they receive through their senses. Currently, the term being used to describe children who have difficulty dealing with input from their senses is sensory processing disorder. _____________________________________________________________________ Sensory Processing Disorder -
Neural Gain Modulation by Closed-Loop Environmental Feedback
RESEARCH ARTICLE A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback Christopher L. Buckley1,2*, Taro Toyoizumi1* 1 Laboratory for Neural Computation and Adaptation, RIKEN Brain Science Institute, Saitama, Japan, 2 Department of Informatics and Engineering, University of Sussex, Falmer, United Kingdom * [email protected] (CLB); [email protected] (TT) a1111111111 a1111111111 a1111111111 a1111111111 Abstract a1111111111 During active behaviours like running, swimming, whisking or sniffing, motor actions shape sensory input and sensory percepts guide future motor commands. Ongoing cycles of sen- sory and motor processing constitute a closed-loop feedback system which is central to motor control and, it has been argued, for perceptual processes. This closed-loop feedback OPEN ACCESS is mediated by brainwide neural circuits but how the presence of feedback signals impacts Citation: Buckley CL, Toyoizumi T (2018) A theory on the dynamics and function of neurons is not well understood. Here we present a simple of how active behavior stabilises neural activity: Neural gain modulation by closed-loop theory suggesting that closed-loop feedback between the brain/body/environment can mod- environmental feedback. PLoS Comput Biol 14(1): ulate neural gain and, consequently, change endogenous neural fluctuations and responses e1005926. https://doi.org/10.1371/journal. to sensory input. We support this theory with modeling and data analysis in two vertebrate pcbi.1005926 systems. First, in a model of rodent whisking we show that negative feedback mediated by Editor: Daniel Bush, University College London, whisking vibrissa can suppress coherent neural fluctuations and neural responses to sen- UNITED KINGDOM sory input in the barrel cortex. -
What Is Proprioception?
1 Talking Matters www.talkingmatters.com.au Ph: 8255 7137 Helping your child to reach their potential Developing body awareness or proprioception Proprioception is a person's awareness of their own body in space. This sense allows us to keep track of where our body parts are without having to look at them. While you are sitting and reading this you can reach down and scratch your knee under the table because your body knows where both your knee and your hand are without having to look at them. Without this sense this simple action would be much more difficult. Proprioception works through an awareness of how our muscles are stretching and adjusts the contraction of our muscles as needed. It works with "kinesthesia" a sense that tells us how our joints are moving and the "vestibular system" in our inner ear which tells us about balance and gravity. All these help us to make adjustments in our joints and muscles to help us move our body and keep our balance. It sounds complex yet we do it all the time without even being aware of it. Proprioception works when sensors in the muscles tell the brain about muscle stretch, tension and pressure. The brain needs information from many sensors or "muscle spindles" to control movements. Muscles used for fine, small movements such as our fingers have many spindles, while those used for larger movements have less. Arms and legs also have many spindles so we can stay upright and keep our balance. The brain also gets information from tendons, joints and ligaments. -
Motor Control: a Sense of Movement
RESEARCH HIGHLIGHTS MOTOR CONTROL A sense of movement Neuroscience textbooks tell us that with a shorter latency after S1 stimu- whisker protraction, and that M1retract the motor cortex controls move- lation than after M1 stimulation. only induces whisker retraction ment. But now, Carl Petersen and Thus, S1 and M1 are both involved in indirectly, through S1 activation. colleagues show that sensory cortex whisker motor and sensory process- By mapping the neural pathways may have an equally important role ing. The M1 area that induced C2 involved in C2 whisker retraction in motor control. retraction was termed M1retract; a and protraction, the authors found The authors showed that a single, more medial M1 region that induced that M1C2 and S1C2 have reciprocal brief deflection of the C2 whisker C2 protraction under microstimula- connections and project to adjacent induced activity in the correspond- tion was termed M1protract. regions in subcortical areas. In the ing barrel column of the primary The authors next investigated the brain stem, this includes the reticular somatosensory cortex (S1), followed functional relevance of this finding. formation as a projection area of M1, by a response in a small area in the By attaching metal particles to the C2 and the spinal trigeminal nuclei as primary motor cortex (M1). Direct whisker and applying a pulsed mag- a projection area of S1. Both areas microstimulation or optogenetic netic field, the authors could evoke project to the facial nucleus, which stimulation of either area induced C2 whisker deflections. The whisker contains whisker motor neurons. a brief retraction of the C2 whisker, retracted in response to this stimulus, Indeed, direct electrical stimula- and this response was abolished when tion of the reticular formation and S1 was inactivated — but not spinal trigeminal nuclei induced when M1 was inactivated — with whisker protraction and retraction, tetrodoxin (TTX). -
What Is Sensory Defensiveness? by Ann Stensaas, M.S., OTR/L
Super Duper® Handy Handouts!® Number 174 What Is Sensory Defensiveness? by Ann Stensaas, M.S., OTR/L Does your child get upset by tags in clothing, the sound of the vacuum cleaner, or certain smells in the environment? If so, your child may be showing signs of sensory defensiveness. Sensory defensiveness is a negative reaction to one or more types of sensations (such as touch, movement, sound, taste/texture, or smell), often requiring you to control his/her daily routine to avoid such things. Types of Sensory Defensiveness There are different types of sensory defensiveness including tactile (touch), gravitational (movement and balance), auditory (hearing), and oral defensiveness (taste, smell, texture). Tactile Defensiveness (Touch) The tactile system is our sense of touch. It protects us from danger and helps us identify different objects in the environment. A child showing signs of tactile defensiveness may: Overreact to ordinary touch experiences (e.g., touching play dough or being touched by someone). Avoid daily activities (e.g., washing face/hands or brushing hair). Avoid light touch (e.g., a kiss) but seek out deep touch (e.g., a bear hug). Vestibular Insecurity (Balance/Movement) The vestibular system is our sense of movement and balance. It tells us where our head and body are in relation to gravity and other objects and supports our vision, posture, emotions, and coordination skills. A child showing signs of gravitational insecurity may: Have an excessive fear of falling during ordinary movement activities (e.g., swinging, riding a bicycle, or climbing). Become overwhelmed by changes in head position (e.g., being upside down). -
Motor Control in the Brain
Motor Control in the Brain Travis DeWolf School of Computer Science University of Waterloo Waterloo, ON Canada December 19, 2008 Abstract There has been much progress in the development of a model of motor control in the brain in the last decade; from the improved method for mathematically extracting the predicted movement direction from a population of neurons to the application of optimal control theory to motor control models, much work has been done to further our understanding of this area. In this paper recent literature is reviewed and the direction of future research is examined. 1 Introduction In the last decade there has been a push from investigating the coordinate system used in the brain, which has been the focus of research since the 1970s, back toward using reductionist experiment techniques and developing more encompassing models of motor control in the brain[28]. Optimal control theory applied to motor control in the brain has also recently started being explored as a framework for models. This has lead to research into the underlying biology of the implementations of internal models of movement and reinforcement learning reward systems in the brain[32]. In addition to this, with the discovery of motor primitives[24], which are often referred to as the `building blocks of movement', many of the ideas about neural activity carried out in the motor cortex need be reworked. The analysis techniques employed by researchers have been improved and of course the computing power available has increased enormously, and these developments have in turn opened the door to the need for further mathematical technique developments for accurate movement analysis and prediction. -
Proprioception As a Basis for Individual Differences Liudmila N
Psychology in Russia: State of the Art Russian Lomonosov Psychological Moscow State Volume 6, Issue 3, 2013 Society University Proprioception as a basis for individual differences Liudmila N. Liutsko Mira y Lopez Laboratory, University of Barcelona, Barcelona, Spain In this chapter the author summarises the descriptions of proprioceptive sense from dif- ferent perspectives. The importance of proprioceptive sense has been shown in devel- opmental psychology, in both the earlier and later stages of individuum formation. The author emphasises in this chapter the role of proprioception as a basis of personality and the individual differences construct. The importance of assessing behaviour at multiple levels has been pointed out by experiments of classic and modern researchers that should include not only verbal tests that would be more important for conscious mental descrip- tion, but also techniques that could assess other behavioural characteristics, including automatic unconscious and pre-reflexive behaviour. The author also describes the effects of altered proprioception in humans, such as the Pinocchio effect, and other spatial per- ception distortions. In this chapter the importance of proprioception in acquiring new skills (embodied knowledge) as automatic and conditioned reflexive behaviour has also been highlighted. Finally, the complete picture of the individuum has been presented as a multi-layered level of a body-mind union approach. Key words: proprioception, individual differences, multi-layered personality, embodied knowledge, automatic movements. The aspects of things that are most important for us are hidden because of their simplicity and familiarity. Wittgenstein (cited in Sacks, 1985) In the cognitive sciences, the most challenging phenomena are often the ones we take for granted in our everyday lives. -
SENSORY MOTOR COORDINATION in ROBONAUT Richard Alan Peters
SENSORY MOTOR COORDINATION IN ROBONAUT 5 Richard Alan Peters 11 Vanderbilt University School of Engineering JSC Mail Code: ER4 30 October 2000 Robert 0. Ambrose Robotic Systems Technology Branch Automation, Robotics, & Simulation Division Engineering Directorate Richard Alan Peters II Robert 0. Ambrose SENSORY MOTOR COORDINATION IN ROBONAUT Final Report NASNASEE Summer Faculty Fellowship Program - 2000 Johnson Space Center Prepared By: Richard Alan Peters II, Ph.D. Academic Rank: Associate Professor University and Department: Vanderbilt University Department of Electrical Engineering and Computer Science Nashville, TN 37235 NASNJSC Directorate: Engineering Division: Automation, Robotics, & Simulation Branch: Robotic Systems Technology JSC Colleague: Robert 0. Ambrose Date Submitted: 30 October 2000 Contract Number: NAG 9-867 13-1 ABSTRACT As a participant of the year 2000 NASA Summer Faculty Fellowship Program, I worked with the engineers of the Dexterous Robotics Laboratory at NASA Johnson Space Center on the Robonaut project. The Robonaut is an articulated torso with two dexterous arms, left and right five-fingered hands, and a head with cameras mounted on an articulated neck. This advanced space robot, now dnven only teleoperatively using VR gloves, sensors and helmets, is to be upgraded to a thinking system that can find, in- teract with and assist humans autonomously, allowing the Crew to work with Robonaut as a (junior) member of their team. Thus, the work performed this summer was toward the goal of enabling Robonaut to operate autonomously as an intelligent assistant to as- tronauts. Our underlying hypothesis is that a robot can deveZop intelligence if it learns a set of basic behaviors ([.e., reflexes - actions tightly coupled to sensing) and through experi- ence learns how to sequence these to solve problems or to accomplish higher-level tasks. -
Auditory System & Hearing
Auditory System & Hearing Chapters 9 part II Lecture 17 Jonathan Pillow Sensation & Perception (PSY 345 / NEU 325) Fall 2017 1 Cochlea: physical device tuned to frequency! • place code: tuning of different parts of the cochlea to different frequencies 2 The auditory nerve (AN): fibers stimulated by inner hair cells • Frequency selectivity: Clearest when sounds are very faint 3 Threshold tuning curves for 6 neurons (threshold = lowest intensity that will give rise to a response) Characteristic frequency - frequency to which the neuron is most sensitive threshold(dB) frequency (kHz) 4 Information flow in the auditory pathway • Cochlear nucleus: first brain stem nucleus at which afferent auditory nerve fibers synapse • Superior olive: brainstem region thalamus MGN in the auditory pathway where inputs from both ears converge • Inferior colliculus: midbrain nucleus in the auditory pathway • Medial geniculate nucleus (MGN): part of the thalamus that relays auditory signals to the cortex 5 • Primary auditory cortex (A1): First cortical area for processing audition (in temporal lobe) • Belt & Parabelt areas: areas beyond A1, where neurons respond to more complex characteristics of sounds 6 Basic Structure of the Mammalian Auditory System Comparing overall structure of auditory and visual systems: • Auditory system: Large proportion of processing before A1 • Visual system: Large proportion of processing after V1 7 Basic Structure of the Mammalian Auditory System Tonotopic organization: neurons organized spatially in order of preferred frequency • -
Delft University of Technology Abstraction, Sensory-Motor
Delft University of Technology Abstraction, Sensory-Motor Coordination, and the Reality Gap in Evolutionary Robotics Scheper, Kirk; de Croon, Guido DOI 10.1162/ARTL_a_00227 Publication date 2017 Document Version Final published version Published in Artificial Life Citation (APA) Scheper, K., & de Croon, G. (2017). Abstraction, Sensory-Motor Coordination, and the Reality Gap in Evolutionary Robotics. Artificial Life, 23(2), 124-141. https://doi.org/10.1162/ARTL_a_00227 Important note To cite this publication, please use the final published version (if applicable). Please check the document version above. Copyright Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons. Takedown policy Please contact us and provide details if you believe this document breaches copyrights. We will remove access to the work immediately and investigate your claim. This work is downloaded from Delft University of Technology. For technical reasons the number of authors shown on this cover page is limited to a maximum of 10. Abstraction, Sensory-Motor Kirk Y. W. Scheper*,** Guido C. H. E. de Croon** Coordination, and the Reality Delft Institute of Technology Gap in Evolutionary Robotics Keywords Sensory-motor control, evolutionary robotics, reality gap, micro air vehicle Abstract One of the major challenges of evolutionary robotics is to transfer robot controllers evolved in simulation to robots in the real world. In this article, we investigate abstraction of the sensory inputs and motor actions as a tool to tackle this problem.