Circuit neuroscience has been revolutionized in the last few years by the use of genetics to express proteins such as channelrhodopsin or GCaMP in molecularly defined neuronal classes. Concurrently, a recent trend in cognitive science is to model the mind within a quantitative framework in which the purpose of perception, decision-making and learning is framed in the context of Bayesian inference. Visually guided behavior of the fruit fly is an ideal experimental system for linking these approaches to establish a mechanistic understanding of neuronal circuit function as well as the computational purpose of behavior. This is the focus of our work.
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