First-order visual interneurons distribute distinct contrast and luminance information across ON and OFF pathways to achieve stable behavior
The accurate processing of contrast is the basis for all visually guided behaviors. Visual scenes with rapidly changing illumination challenge contrast computation because photoreceptor adaptation is not fast enough to compensate for such changes. Yet, human perception of contrast is stable even when the visual environment is quickly changing, suggesting rapid post receptor luminance gain control. Similarly, in the fruit fly Drosophila, such gain control leads to luminance invariant behavior for moving OFF stimuli. Here, we show that behavioral responses to moving ON stimuli also utilize a luminance gain, and that ON-motion guided behavior depends on inputs from three first-order interneuro…
Stimulus Driven Functional Transformations in the Early Olfactory System.
Olfactory stimuli are encountered across a wide range of odor concentrations in natural environments. Defining the neural computations that support concentration invariant odor perception, odor discrimination, and odor-background segmentation across a wide range of stimulus intensities remains an open question in the field. In principle, adaptation could allow the olfactory system to adjust sensory representations to the current stimulus conditions, a well-known process in other sensory systems. However, surprisingly little is known about how adaptation changes olfactory representations and affects perception. Here we review the current understanding of how adaptation impacts processing in …
First-order visual interneurons distribute distinct contrast and luminance information across ON and OFF pathways to achieve stable behavior
Source data of the paper Ketkar, Gür, Molina-Obando et al. 2022, eLife. We analyzed the behavioral contribution and physiological response properties of first order interneurons L1, L2 and L3 in the Drosophila melanogaster visual system. Data are sorted by figures and comprise either behavioral measurements of flies walking on an air-cushioned ball while being shown visual stimuli, or in vivo two photon microscopy recordings of L1-L3 calcium responses. Please find all relevant information to use the data in the README file. The code to analyze the data, either written in Matlab or Python, is found at https://github.com/silieslab/Ketkar-Gur-MolinaObando-etal2022