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for effective communication to the brain. In the Neural Engineering Lab, we concentrate on this crucial step of interpreting and encoding visual data. The current project will build upon a user-centric design
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that can be used at speeds that are orders of magnitude faster than current CMOS technology. In order to demonstrate the computational power of so-called synchronised stochasticity for approximate Bayesian
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teaching load may be up to 5% of your working time. Profile You have an MSc or BSc degree in neuroscience, cognitive neuroscience, psychology, computer science, physics, engineering, or a related field with
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. Profile You have an MSc or BSc degree in neuroscience, cognitive neuroscience, psychology, computer science, physics, engineering, or a related field with a strong quantitative background. You are