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.
- Bath, DE., Stowers, JR., Hörmann, D., Poehlmann, A., Dickson, BJ., Straw, AD. (2014). FlyMAD: rapid thermogenetic control of neuronal activity in freely walking Drosophila. Nat Methods. 11(7):756-62 (abstract)
- Fenk, LM., Poehlmann, A., Straw, AD. (2014). Asymmetric Processing of Visual Motion for Simultaneous Object and Background Responses. Curr Biol. (abstract)
- Stowers, JR., Fuhrmann, A., Hofbauer, M., Streinzer, M., Schmid, A., Dickinson, MH., Straw, AD. (2014). Reverse Engineering Animal Vision with Virtual Reality and Genetics. Computer. 14(190):38–45
- Straw, AD., Branson, K., Neumann, TR., Dickinson, MH. (2011). Multi-camera real-time three-dimensional tracking of multiple flying animals. J R Soc Interface. 8(56):395-409 (abstract)
- Straw, AD., Lee, S., Dickinson, MH. (2010). Visual control of altitude in flying Drosophila. Curr Biol. 20(17):1550-6 (abstract)