Figure 3. Inferring sensorimotor transformations from behavioral data.

(A) Visual and olfactory pathways can be driven by two different colors of light use Gaussian white noise patterns (i). On the basis of this activation, Drosophila larvae will decide whether or not to turn (ii). (iii) A reverse-correlation analysis finds the filters that transform sensory neuron activation into behavioral choices (modified from Gepner et al 2015). (B) (i) C. elegans that are on a food patch will explore (insert) and experience changes in food concentration. (ii) When they are exploring off-food, they will explore a small area by emitting a certain number of large-angle turns (represented here as black dots) to interrupt their forward locomotion and keep them in a small area. (iii) This sensory experience and turning output can be linked by a linear filter that keeps track of ~25 minutes of experience (modified from Calhoun et al 2015). (C) (i) Drosophila males will court a female by observing features such as the distance between the male and female and her velocity and (ii) will produce a dynamic song via wing vibration. (iii) The type of song that is emitted can be predicted based on the male’s own velocity and the inter-fly distance, for instance (modified from Coen et al 2014).