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Active sensing underwater: Modeling tadpole responses to current by a directed random walk

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Event Abstract Back to Event Active sensing underwater: Modeling tadpole responses to current by a directed random walk Erika E. Alexander1, Brian P. Schmidt2, Jeffrey M. Knowles3 and Andrea M. Simmons1* 1 Brown University, Cognitive, Linguistic & Psychological Sciences, United States 2 University of Washington, Neurobiology and Behavior, United States 3 Brown University, Neuroscience, United States Although a great deal is known about sensing of flow fields in various species of adult fishes, very little is known about the development and maturation of this sensory capacity. Anurans remain aquatic during their larval (tadpole) stages, during which times they naturally encounter various sources of flow. Flow sensing is mediated by the activity of the lateral line neuromasts, which in tadpoles are exclusively of the superficial type. In a series of behavioral experiments, we have been examining the flow sensing abilities of bullfrog (Rana catesbeiana) tadpoles by exposing animals to flow fields with different structure and to a range of flow rates, and by challenging the function of the lateral line system by pharmacological manipulations. Bullfrog tadpoles in early stages of larval development (Gosner stages 25-33, before the appearance of hind limbs) respond to flow by actively swimming downstream, to areas of reduced flow. This downstream movement occurs consistently at a range of flow rates (4 – 10 cm/s), above a threshold of 1-2 cm/s, depending on the particular dynamics of the flow field. Because downstream movements are observed in response to both low (near-threshold) and high flow rates, a process other than passive push by the current is mediating these responses. Whether or not tadpoles orient towards the source of the flow (positive rheotaxis) depends on the dynamics of the flow field. When flow is restricted, no positive rheotaxis is observed at any flow rate tested. In a more distributed flow field, positive rheotaxis is observed at all flow rates tested. Thigmotactic behavior is not sensitive to the dynamics of the flow field. Treatment with cobalt chloride or with gentamicin alters responses to flow fields in a dose-dependent manner. Under conditions of lateral line challenge, animals show less directed movements and are more subjected to the influence of passive push. We developed a statistical model based on a Markov chain random walk process to predict tadpole responses to flow. The model simulates the animal’s movement within the testing environment by iteratively calculating the velocity of a theoretical animal using realistic parameters derived from empirical data. The model animal’s transition from a resting state to a moving, active state is governed by a Markov chain. The lateral line is modeled by a leaky integrator. Using Bayesian hypothesis testing, we directly compared the importance of the lateral line leaky integrator in predicting tadpole behavior. The results of these analyses predict that normal tadpoles should move downstream faster than a random walker biased by flow, while the behavior of tadpoles whose lateral line has been pharmacologically damaged is better described as a random walk. Keywords: Lateral Line, rheotaxis, tadpole Conference: Tenth International Congress of Neuroethology, College Park. Maryland USA, United States, 5 Aug - 10 Aug, 2012. Presentation Type: Poster (but consider for student poster award) Topic: Sensory: Mechanosensation Citation: Alexander EE, Schmidt BP, Knowles JM and Simmons AM (2012). Active sensing underwater: Modeling tadpole responses to current by a directed random walk. Conference Abstract: Tenth International Congress of Neuroethology. doi: 10.3389/conf.fnbeh.2012.27.00006 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: 30 Apr 2012; Published Online: 07 Jul 2012. * Correspondence: Prof. Andrea M Simmons, Brown University, Cognitive, Linguistic & Psychological Sciences, Providence, Rhode Island, 02912, United States, Andrea_Simmons@brown.edu 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 Erika E Alexander Brian P Schmidt Jeffrey M Knowles Andrea M Simmons Google Erika E Alexander Brian P Schmidt Jeffrey M Knowles Andrea M Simmons Google Scholar Erika E Alexander Brian P Schmidt Jeffrey M Knowles Andrea M Simmons PubMed Erika E Alexander Brian P Schmidt Jeffrey M Knowles Andrea M Simmons 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.

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