Neural circuits for vision
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. 24(24):2913-9 (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)