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Engineering biological neural networks on high density CMOS based microelectrode arrays
The fundamental mechanisms of information processing in the brain are still poorly understood due to the high complexity of the brain.
We tackle this challenge using the bottom-up neuroscience approach, where we make use of small, patterned in-vitro neuronal networks with precise architectures and connectivity. This system enables the analysis of neuronal information processing at a simplified level with only a few neurons.
The technology of engineering patterned neuronal networks on standard microelectrode arrays (60 electrodes) was developed and optimized in recent years in the lab with great success. We are currently working on novel methods to pattern neurons on high density CMOS based microelectrode arrays with over 400x the number of recording elements (26’400 electrodes). These next-generation platforms allow recording from and interaction with engineered neuronal networks with extremely high spatial resolution.
The technology of engineering patterned neuronal networks on standard microelectrode arrays (60 electrodes) was developed and optimized in recent years in the lab with great success. We are currently working on novel methods to pattern neurons on high density CMOS based microelectrode arrays with over 400x the number of recording elements (26’400 electrodes). These next-generation platforms allow recording from and interaction with engineered neuronal networks with extremely high spatial resolution.
The goal of this project is to pattern small neuronal networks with distinct connectivity on CMOS chips and to study their electrical behavior.
This project is highly interdisciplinary and includes elements from electrical, mechanical and biomedical engineering, as well as material sciences, neuroscience and biology, that can be tailored to the student’s background and interests.
The goal of this project is to pattern small neuronal networks with distinct connectivity on CMOS chips and to study their electrical behavior. This project is highly interdisciplinary and includes elements from electrical, mechanical and biomedical engineering, as well as material sciences, neuroscience and biology, that can be tailored to the student’s background and interests.
If you're interested, don't hesitate to reach out! Just send me an e-mail with a CV and transcript to duru@biomed.ee.ethz.ch.
If you're interested, don't hesitate to reach out! Just send me an e-mail with a CV and transcript to duru@biomed.ee.ethz.ch.