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Embedded systems for neural interfaces
The student will be involved in the development of software applications for in-vitro neural interfaces. The ultimate goal is controlling a complex embedded system, comprising a custom-made CMOS neural interface and two system on a chip.
Neural interfaces are aimed at creating links between neurons and computers, enabling advanced electrophysiology studies and opening paths to restoring lost functions in the nervous system. CMOS technology allows for low-noise recording from thousands of electrodes in parallel, either in-vitro or in-vivo.
We are developing CMOS-based neural interfaces integrating different functionalities, including the detection of action potentials, stimulation of neurons, and impedance imaging. This instruments require real-time communication with a host computer, which is achieved combining FPGAs and System on a Chip.
The backbone of the system is already implemented and tested, but there are multiple functionalities that need to be implemented to fully exploit the capabilities of our CMOS neural interfaces. In this Master thesis or semester project, the student will learn about CMOS technology and embedded systems, understand the existing solution, and develop different software tools to enable new electrophysiological studies.
This project requires some previous experience with Python and C++. Basic knowledge of VHDL is advantageous, but not required.
The position is located in Basel and is available for master's thesis and semester projects throughout the year. Part-time remote work arrangements can be discussed. International students are requested to contact me at least three months prior to the intended start date of the project.
Neural interfaces are aimed at creating links between neurons and computers, enabling advanced electrophysiology studies and opening paths to restoring lost functions in the nervous system. CMOS technology allows for low-noise recording from thousands of electrodes in parallel, either in-vitro or in-vivo.
We are developing CMOS-based neural interfaces integrating different functionalities, including the detection of action potentials, stimulation of neurons, and impedance imaging. This instruments require real-time communication with a host computer, which is achieved combining FPGAs and System on a Chip.
The backbone of the system is already implemented and tested, but there are multiple functionalities that need to be implemented to fully exploit the capabilities of our CMOS neural interfaces. In this Master thesis or semester project, the student will learn about CMOS technology and embedded systems, understand the existing solution, and develop different software tools to enable new electrophysiological studies.
This project requires some previous experience with Python and C++. Basic knowledge of VHDL is advantageous, but not required. The position is located in Basel and is available for master's thesis and semester projects throughout the year. Part-time remote work arrangements can be discussed. International students are requested to contact me at least three months prior to the intended start date of the project.
Not specified
Dr. Fernando Cardes (Fernando.cardes@bsse.ethz.ch)
Dr. Fernando Cardes (Fernando.cardes@bsse.ethz.ch)