| Paper: | GS-1.2 | ||
| Session: | Contributed Talks 1-2 | ||
| Location: | H0104 | ||
| Session Time: | Saturday, September 14, 09:50 - 10:30 | ||
| Presentation Time: | Saturday, September 14, 10:10 - 10:30 | ||
| Presentation: | Oral | ||
| Publication: | 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany | ||
| Paper Title: | Evolving the Olfactory System | ||
| Manuscript: | Click here to view manuscript | ||
| View Video: | Video | ||
| License: |  This work is licensed under a Creative Commons Attribution 3.0 Unported License. |
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| DOI: | https://doi.org/10.32470/CCN.2019.1355-0 | ||
| Authors: | Guangyu Robert Yang, Peter Yiliu Wang, Yi Sun, Ashok Litwin-Kumar, Richard Axel, L.F. Abbott, Columbia University, United States | ||
| Abstract: | Flies and mice are species separated by 600 million years of evolution, yet have evolved olfactory systems that share many similarities in their anatomic and functional organization. What functions do these shared anatomical and functional features serve, and are they optimal for odor sensing? In this study, we address the optimality of evolutionary design in olfactory circuits by studying artificial neural networks trained to sense odors. We found that artificial neural networks quantitatively recapitulate structures inherent in the olfactory system, including the formation of glomeruli onto a compression layer and sparse and random connectivity onto an expansion layer. Finally, we offer theoretical justifications for each result. Our work offers a framework to explain the evolutionary convergence of olfactory circuits, and gives insight and logic into the anatomic and functional structure of the olfactory system. | ||