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Software development for neural interfaces
The student will be involved in the development of software applications for in-vitro neural interfaces. These applications include tasks such as visualizing neural recordings, real-time signal processing, and interfacing with our CMOS-based systems.
Neural interfaces are designed to establish connections between neurons and computers, enabling advanced electrophysiology studies and paving the way for restoring lost functions in the nervous system. Leveraging CMOS technology permits low-noise recording from thousands of electrodes in parallel, both in-vitro and in-vivo.
We are developing CMOS neural interfaces that integrate various functions, including action potential detection, neuron stimulation, and impedance imaging. Given the complexity of these neural interfaces, custom software applications must be developed to control the CMOS device, as well as to post-process and visualize the neural recordings. We offer Master's and Bachelor's theses, along with semester projects tailored to the student's experience and interests. The student will integrate into an interdisciplinary team comprising microfabrication engineers, electrical engineers, data scientists, biologists, and neuroscientists.
Proficiency in Python, C++, and Linux is a prerequisite for this project.
Neural interfaces are designed to establish connections between neurons and computers, enabling advanced electrophysiology studies and paving the way for restoring lost functions in the nervous system. Leveraging CMOS technology permits low-noise recording from thousands of electrodes in parallel, both in-vitro and in-vivo.
We are developing CMOS neural interfaces that integrate various functions, including action potential detection, neuron stimulation, and impedance imaging. Given the complexity of these neural interfaces, custom software applications must be developed to control the CMOS device, as well as to post-process and visualize the neural recordings. We offer Master's and Bachelor's theses, along with semester projects tailored to the student's experience and interests. The student will integrate into an interdisciplinary team comprising microfabrication engineers, electrical engineers, data scientists, biologists, and neuroscientists.
Proficiency in Python, C++, and Linux is a prerequisite for this project.
Not specified
Dr. Fernando Cardes (Fernando.cardes@bsse.ethz.ch)
Dr. Fernando Cardes (Fernando.cardes@bsse.ethz.ch)