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Mixed Signal Electronics in Neuroengineering (Lab)

Course 0000003608 in WS 2019/20

General Data

Assignment to Modules

This course is not assigned to any module.

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks This course covers topics related to the interaction between neural tissue and the tools that are used to record from or stimulate them. Starting with concepts of device-tissue interactions and the electrochemistry of the electrode-electrolyte interface we will proceed with optimization strategies for sensing and stimulation applications. The class provides an overview of the main components of a complete neural hardware system comprising bioelectronic recording/stimulation interfaces as well as relevant processing circuitry. The course will also address state-of-the-art methods for the design and fabrication of soft and flexible neuroelectronic interfaces and processing hardware for noisy neural recordings including pre-processing (analog low-noise amplifiers and bandpass filters), and application-specific hardware (analog/digital/mixed signal), which is implemented either in an implantable system or external components. Furthermore, stimulation with micro-currents will be discussed and how to use such systems while minimizing negative chronic effects.
Links E-Learning course (e. g. Moodle)
TUMonline entry
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