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Artificial Intelligence (Master of Science) >>

Movement Neuroscience: Connections between the Brain and Muscles in Humans (MNeuro)5 ECTS
(englische Bezeichnung: Movement Neuroscience: Connections between the Brain and Muscles in Humans)
(Prüfungsordnungsmodul: Movement Neuroscience: Connections between Brain and Muscles in Humans)

Modulverantwortliche/r: Alessandro Del Vecchio
Lehrende: Alessandro Del Vecchio, u. Mitarbeiter


Startsemester: WS 2022/2023Dauer: 1 SemesterTurnus: jährlich (WS)
Präsenzzeit: 75 Std.Eigenstudium: 75 Std.Sprache: Englisch

Lehrveranstaltungen:


Inhalt:

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.

Lernziele und Kompetenzen:

Students understand motor function at the brain and muscle level. The students describe how these systems are organized and what information can be extracted from the brain and muscles with the use of EMG signals. Moreover, students explore the acquisition, analysis, and interpretation of electrophysiological data with a specific focus on human recordings in health and pathological conditions (e.g., spinal cord injury, stroke, and Parkinson’s disease).


Weitere Informationen:

Schlüsselwörter: Neurophysiology, Neuroscience, Biosignals Processing

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:

  1. Artificial Intelligence (Master of Science)
    (Po-Vers. 2021s | TechFak | Artificial Intelligence (Master of Science) | Gesamtkonto | Nebenfach | Nebenfach Artificial Intelligence in Biomedical Engineering | Movement Neuroscience: Connections between Brain and Muscles in Humans)
Dieses Modul ist daneben auch in den Studienfächern "Data Science (Master of Science)", "Informatik (Master of Science)", "Information and Communication Technology (Master of Science)", "Medizintechnik (Master of Science)" verwendbar. Details

Studien-/Prüfungsleistungen:

Movement Neuroscience: Connections between Brain and Muscles in Humans (Prüfungsnummer: 76741)
Prüfungsleistung, mündliche Prüfung, Dauer (in Minuten): 30, benotet, 5 ECTS
Anteil an der Berechnung der Modulnote: 100.0 %
weitere Erläuterungen:
Oral exam, 30 min.

Erstablegung: WS 2022/2023, 1. Wdh.: SS 2023
1. Prüfer: Alessandro Del Vecchio

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