bioRxiv preprint doi: https://doi.org/10.1101/174417; this version posted August 11, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Sniff invariant odor coding Roman Shusterman1, 2*+, Yevgeniy B. Sirotin3, Matthew C. Smear2, 4, Yashar Ahmadian2, 5, Dmitry Rinberg 6 1 Sagol Department of Neurobiology, University of Haifa, Haifa 3498838, Israel 2 Institute of Neuroscience, University of Oregon, Eugene, OR 97403, USA 3The Rockefeller University, New York, NY, USA 4 Department of Psychology, University of Oregon, Eugene, OR 97403, USA 5 Departments of Biology and Mathematics University of Oregon, Eugene, OR, 97403, USA 6 New York University Langone Medical Center, New York, NY, USA * Correspondence:
[email protected] (R.S.) Summary Sampling regulates stimulus intensity and temporal dynamics at the sense organ. Despite variations in sampling behavior, animals must make veridical perceptual judgments about external stimuli. In olfaction, odor sampling varies with respiration, which influences neural responses at the olfactory periphery. Nevertheless, rats were able to perform fine odor intensity judgments despite variations in sniff kinetics. To identify the features of neural activity supporting stable intensity perception, in awake mice we measured responses of Mitral/Tufted (MT) cells to different odors and concentrations across a range of sniff frequencies. Amplitude and latency of the MT cells’ responses vary with sniff duration. A fluid dynamics (FD) model based on odor concentration kinetics in the intranasal cavity can account for this variability. Eliminating sniff waveform dependence of MT cell responses using the FD model significantly improves concentration decoding.