Event Abstract Back to Event Assessment of second-order shape information in mice primary visual cortex. William J. Redmond1, 2* and Hans Op De Beeck2 1 Macquarie University, Australia 2 KU Leuven, Belgium The investigation of high-level properties of human cortical vision has long been modelled using mainly nonhuman primates. Yet, at least for transformation-invariant object recognition, rodents’ capabilities have now been asserted as a valid tool to study some characteristics of object recognition (1, 2). In this study, we aimed to 1. Train mice in a texture-based shape discrimination and generalization task using Saksida-Bussey touchscreen chambers, 2. Record single-unit activity with multi-channel silicone probe arrays in the primary visual cortex and 3. Use unsupervised and supervised machine-learning approaches to assess the presence of shape-related information in isolated single-unit responses (150 cells, 8 animals). We have found that mice are able to distinguish mid-level vision features through an incremental learning approach, leading them to correctly identify (above 77,5% correct threshold) texture over texture shapes. We also found that, after using a dimensionality reduction approach (multi-dimensional scaling) of the full temporal response of neurons in V1, responses cluster surprisingly well relating to shape, though grating orientation information is still a driving force. Finally, we have further investigated generalization capabilities of classifiers to differentiate between two shapes of differing texture orientation. Taken together, our results indicate some weak yet present information relating to shape in V1. We can also confirm that mice can differentiate between second-order shapes despite this strong influence of orientation-selectivity pull. Acknowledgements We would like to acknowledge the help of Christophe Bossens in setting up the experimental paradigms used in this study. References 1: Bossens C, Op de Beeck HP. Linear and Non-Linear Visual Feature Learning in Rat and Humans. Front Behav Neurosci. 2016 Dec 23;10:235. doi: 10.3389/fnbeh.2016.00235. eCollection 2016. PubMed PMID: 28066201; PubMed Central PMCID: PMC5180255. 2: De Keyser R, Bossens C, Kubilius J, Op de Beeck HP. Cue-invariant shape recognition in rats as tested with second-order contours. J Vis. 2015;15(15):14. doi: 10.1167/15.15.14. PubMed PMID: 26605843. Keywords: Vision Neuroscience, Figure Ground Segregation, electrophysiolgy, behaviour (rodent), machine learning Conference: Belgian Brain Congress 2018 — Belgian Brain Council, LIEGE, Belgium, 19 Oct - 19 Oct, 2018. Presentation Type: e-posters Topic: NOVEL STRATEGIES FOR NEUROLOGICAL AND MENTAL DISORDERS: SCIENTIFIC BASIS AND VALUE FOR PATIENT-CENTERED CARE Citation: Redmond WJ and Op De Beeck H (2019). Assessment of second-order shape information in mice primary visual cortex.. Front. Neurosci. Conference Abstract: Belgian Brain Congress 2018 — Belgian Brain Council. doi: 10.3389/conf.fnins.2018.95.00099 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 31 Aug 2018; Published Online: 17 Jan 2019. * Correspondence: Dr. William J Redmond, Macquarie University, Sydney, Australia, william.redmond@mq.edu.au Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers William J Redmond Hans Op De Beeck Google William J Redmond Hans Op De Beeck Google Scholar William J Redmond Hans Op De Beeck PubMed William J Redmond Hans Op De Beeck Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.