|Language of instruction||English|
|Offered by||Radboud University; Faculty of Social Sciences; Cognitive Neuroscience; |
|SEM1|| (01/09/2020 to 24/01/2021)|
|Please note: if you do not yet have a master's registration, you are not yet registered for the tests for this course.|
|Registration using OSIRIS||Yes|
|Course open to students from other faculties||No|
Assumed previous knowledge
This course will provide students with a thorough background in the neurobiological and functional properties of the human motor system. The content is aimed at providing students with an understanding of many of the important principles and modern theories in motor planning, control, estimation, prediction, learning and coordination necessary to conduct, critically evaluate, and disseminate research of the motor system. This will be achieved by providing a multi-disciplinary overview of motor control, covering theoretical and experimental work from the fields of biomechanics, computational neuroscience, experimental psychology and robotics, and focusing on the hierarchical organization of the motor system considered from a neuroanatomical, neurophysiological and cognitive point of view.
Neurobiological aspects. This course will provide a detailed overview of the neurobiological basis of the hierarchically organized human motor control system, including the (sub)cortical structures involved in the planning and execution of movements, the peripheral neuromuscular system and its specific biophysical make-up, and the various reflex mechanisms involved in motion. Fields that will be covered are neuroanatomy, neurophysiology, biomechanics, and psychonomics.
Functional aspects. We will focus on eye, head, and arm movements, as well as on walking, drawing and handwriting. Research paradigms that are promising for future neurocognitive research, stemming from experimental psychology and human movement science, will be discussed.
Theoretical/quantitative aspects. An overview will be presented of the theoretical models of the planning and execution of movements that address problems related to solving inverse kinematics and inverse dynamics of kinematically redundant limbs, feedforward and feedback mechanisms in motor systems, learning and self-organization and cognitive constraints which affect human motor performance. All models will be discussed in the context of available experimental data.
Additional aspects. Where relevant, implications of theories, models and research findings for applied and clinical research purposes will be discussed. Part of the course will focus on experimental methods for studying human motor control, including analysis tools like computational modelling and rigid-body analysis, EMG, EEG, MEG, and fMRI.
|This course is for CNS students only. Non-CNS students can contact Ellen Janssen (email@example.com) or Arno Koning ( firstname.lastname@example.org).|
*Relevant chapters from handbooks of neuroanatomy, neurophysiology, biomechanics and psychonomics and recent papers in top-quality journals like Biological Cybernetics, Behavioral and Brain Sciences, Human Movement Science, Journal of Cognitive Neuroscience, Journal of Neurophysiology, Journal of Neuroscience, Nature, Neuroscience, Neural Computation, Neuron, Psychological Bulletin, Psychological Review, and Science.|
|Scott SH. A Functional Taxonomy of Bottom-Up Sensory Feedback Processing for Motor Actions. Trends Neurosci. 39(8):512-526 (2016).|
|Kandel, E., Schwartz J.H., & Jessell T.M. (2000) Principles of Neural Science. Chapters 33-43. McGraw-Hill. (new edition 2013)|
|McMahon, T.A. (1984) Muscles, reflexes and locomotion.Princeton University Press.|
|Rosenbaum, D.A. (1992). Human motor control, Chapters 2-11. San Diego: Academic Press.|
|Shadmehr, R. & Wise, S.P. (2005) The computational neurobiology of reaching and pointing. MIT Press|
|Wolpert, D.M. & Diedrichsen, J. & Flanagan J.R. (2011) Principles of sensorimotor learning. Nature Reviews Neuroscience, 12, 739-751.|
|Crawford J.D., Henriques D.Y., & Medendorp, W.P. (2011). Three-dimensional transformations for goal-directed action. Annual Reviews Neuroscience; 34, 309-31.|
|Krakauer, J. W., Ghazanfar, A. A., Gomez-Marin, A., MacIver, M. A. & Poeppel, D. Neuroscience Needs Behavior: Correcting a Reductionist Bias. Neuron 93, 480–490 (2017).|
|Omrani M, Kaufman MT, Hatsopoulos NG, Cheney PD.Perspectives on classical controversies about the motor cortex. J Neurophysiol. 118(3):1828-1848 (2017)|
|McDougle SD, Ivry RB, Taylor JA. Taking Aim at the Cognitive Side of Learning in Sensorimotor Adaptation Tasks. Trends Cogn Sci. 20(7):535-544, 2016|
|Krakauer, J. W. & Carmichael, S. T. Broken movement: the neurobiology of motor recovery after stroke. (The MIT Press, 2017).|
|Medendorp WP, Heed T. State estimation in posterior parietal cortex: Distinct poles of environmental and bodily states.
Prog Neurobiol. 183:101691 (2019).|
|Experiments, computer simulations|
RemarkActive participation in experiments, and computer simulations
RemarkStudent assignments will be made available on a special course-site on the Internet, via Brightspace.
|Closed book exam|
|Opportunities||Block SEM1, Block SEM2|
RemarkNOTE: enrollment for a course automatically registers you for its exam. For participating in the retake, register again.