Content:
Introduction to the course: Definition and application in real life; biological bases of Motor systems–
motor and premotor cortices, parietal and frontal cortices, basal ganglia and cerebellum; approaches
to studying motor learning – definition and measuring motor learning, designing experiments on
learning, alternative methods for measuring learning, issues about “amount” of learning,
understanding differences between learning and changes in performance; learning strategies of
motor sequences – implicit versus explicit learning, chunking, role of sleep, neural basis, disruption
in different brain disorders; adaptation learning – adaptation to novel dynamical and visual
perturbations, sensory signals responsible for adaptation, generalization and transfer of learning,
elementary computational models; learning under unstable and unpredictable conditions – motor
noise, impedance control, feedforward and feedback components of impedance control; motor skill
learning – use dependent learning, “model-free”; reinforcement learning, neural basis; Vocal
learning in songbirds – role of variability and use of exploration, critical period, neural circuits,
application to human speech learning
Text/Reference Books:
- Ghosh, L., Konar, A., & Rakshit, P. (2020). Cognitive Modeling of
Human Memory and Learning: A Non-invasive Brain-computer
Interfacing Approach. John Wiley & Sons. United Kingdom.
ISBN no.: 978-1119705864, 2020
- Schmidt, R. A., Lee, T. D., Winstein, C., Wulf, G., & Zelaznik, H. N.
(2018). Motor control and learning: A behavioral emphasis. Human
kinetics.
ISBN no.: 978-0736079617, 2018
- Utley, A. (2018). Motor control, learning and development: Instant
notes. Routledge.
ISBN no.: 978-1138103870, 2018
- Vahdat, S., Albouy, G., King, B., Lungu, O., & Doyon, J. (2017).
Online and offline modulators of motor learning. Frontiers in Human
Neuroscience, 11, 69., 2017
- Edwards, W. H. (2010). Motor learning and control: From theory to
practice. Cengage Learning.
ISBN no.: 978-0495010807, 2010
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