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Campus
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SMME
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Programs
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PG
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Session
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Spring Semester 2017
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Course Title
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Neuralengineering
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Course Code
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BMES-823
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Credit Hours
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3-0
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Pre-Requisutes
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Biomedical Signal processing
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Course Objectives
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The primary objective is to survey the current state of design and application of Neuroengineering methods. The nervous system exhibits an extraordinary capability for information processing, storage, and acquisition, much of which emerges from the interactions of systems of neurons. This course will explore cell to systems-level functions and dysfunctions of the nervous system from a scientific and engineering perspective, beginning with issues of sensory coding and motor control, and expanding into issues of homeostasis, arousal, cognitive and mood disorders, and experience-dependent modifications of neuronal operations. At the end of the course the students will have knowledge about the functions and control mechanism of the brain, they will also know how brain interacts with external environment and with body, and how two way communication with brain can be made with haptic devices.
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Detail Content
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- Microscopic Level: Technology of Electrophysiology; Membrane and Ion Channels; Single cell physiology; Biophysics of the neuron; Hodgkin-Huxley-model of action potentials.
- Macroscopic Level: nervous system, motor nervous system and their functionality, Brain Stimulation and Diseases; Brain pacemaker; Human Brain Interfaces, Neural Recording Techniques.
- Functional level: neural basis of cognition, primarily focusing on neurophysiological studies in humans using fMRI, PET, MEG, EEG, and TMS. Motor control and learning.
- The Brain and Its Functions: Electroencephalogram: Signal of the Brain, Evoked Potentials, Diseases of the Central Nervous System and the EEG, EEG for Assessment of Anesthesia, Sleep Studies, Processing and Feature Extraction of EEGs
- Neural Interfaces: Neural interfacing for sensory and motor prosthetics. Neural interfacing for treatment of disease (functional electrical stimulation), Neural interfacing for in vitro brain models
- Brain stimulation: effects and safety of electrical stimulation, Models of neural stimulation, Power and control of devices, Electrodes for central stimulation and recording, Electrodes for peripheral stimulation and recording.
- Neural Signal Processing: Real-time neural data analysis and feedback; Neurally-controlled robots, Diagnostic neural interfacing.
- Electromyogram: Muscle, EMG: Signal Muscles, Neuromuscular Diseases and the EMG, Other Applications of the EMG, Processing and Feature Extraction of the EMG
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Text/Ref Books
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- Kandel ER, Schwartz JH, Jessel TM (1991) Principles of neural science, Prentice-Hall
- Neuroprosthetics - Theory and Practice (KW Horch and GS Dhillon, eds), Volume 2 in
- the Series on Bioengineering and Biomedical Engineering, 2004, World Scientific
- Publishing.
- Dayan, P, Abbott, LF (2001) Theoretical neuroscience , Webversion:
- Windhorst U, Johansson H (1999) Modern Techniques in Neuroscience Research , 1
- Edition. Berlin: Springer
- Koch C, Segev I (1998) Methods in Neuronal Modelling, 2nd Edition. Cambridge, MA:
- MIT Press
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Time Schedule
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Spring Semester 2017
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Faculty/Resource Person
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Dr M Nabeel Anwar, CEng MIMechE, MIET
PhD (University of Genova) Italy
Discipline: Biomedical Engineering and Sciences
Specialization: Neuroscience, Neuralengineering, EEG signal processing,
Rehabilitation engineering
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