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Artificial Intelligence (Master of Science) >>

  Movement Neuroscience: Connections between the Brain and Muscles in Humans (MN(A))

Dozentinnen/Dozenten
Prof. Dr. Alessandro Del Vecchio, u. Mitarbeiter

Angaben
Vorlesung
3 SWS, ECTS-Studium, ECTS-Credits: 5, Sprache Englisch
Zeit und Ort: Mo 14:15 - 15:45, K2-119

Studienfächer / Studienrichtungen
WF MT-MA ab 1 (ECTS-Credits: 5)

ECTS-Informationen:
Title:
Movement neuroscience: connections between the brain and muscles in humans

Credits: 5

Prerequisites
Compulsory prerequisites: No compulsory prerequisites.

Recommended: Basic biology and neurophysiology, Computer programming (Matlab and/or Python), Biosignal processing

Contents
Module: Principles of Neural control of movement and neuroengineering How the central nervous system controls muscle forces; Neurons, upper and lower motoneurons, Cortical and brainstem function, Interneurons and Motor Units. Neuroengineering applications for studying the neural control of movement; invasive and non-invasive recordings, electrical stimulation of the nervous system.

Module: Electrophysiology Generation of an action potential, difference between intracellular and extracellular action potential, sparsity of the action potential in a matrix of electrodes.

Module: Generation of EMG signals and analysis Recording electrophysiological data in humans; examples of EMG and EEG recordings.

Module: Oscillations in neuronal networks Coherence analysis; Common synaptic input to populations of neurons; Noise in the nervous system; Associations between EEG and EMG signals; Startle responses

Module: Simulation of muscle forces from the firing of individual motoneurons Motor unit model, Hodgkin–Huxley model, Muscle Properties

Module: EMG signals in Neural Pathologies Parkinson’s and Spinal Cord Injury, Motor unit analysis in neurodegenerative and neurotraumatic diseases.

Module: MATLAB / Python practical coursework Extraction of neural information from electrophysiological signals; associations of information between electrophysiological signals and behavioural data; Experiment in humans.

Literature
-Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals, Del Vecchio et al. https://doi.org/10.1016/j.jelekin.2020.102426
-Principles of Neuroscience from Eric R. Kandel, MD
-Motor unit from Heckman and Enoka, DOI: 10.1002/cphy.c100087
-Surface Electromyography, Physiology, Engineering, and Applications Edited by Roberto Merletti and Dario Farina
-Ibanez et al. 2021 J Neurosci https://doi.org/10.1523/JNEUROSCI.2908-20.2021

Zusätzliche Informationen
Schlagwörter: Neurophysiology, Neuroscience, Biosignals Processing

Verwendung in folgenden UnivIS-Modulen
Startsemester WS 2022/2023:
Movement Neuroscience: Connections between the Brain and Muscles in Humans (MNeuro)

Institution: Juniorprofessor für Neuromuscular Physiology and Neural Interfacing
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