Theory of reconstruction of stationary objects by the blind cave fish Mexican tetra using flow sensing

Abstract

Event Abstract Back to Event Theory of reconstruction of stationary objects by the blind cave fish Mexican tetra using flow sensing Sebastian Urban1, Andreas N. Vollmayr1* and J. Leo Van Hemmen1 1 TUM, Germany The blind cave fish uses its lateral line organ to sense and navigate its surroundings. By gliding through water the blind cave fish creates a flow field which is disturbed by objects around it. Sensing this disturbances the cave fish can map its surroundings and avoid obstacles. For the case of a fish swimming along a stationary object with an arbitrary form I present a mathematical method based on a explicit solution of the Euler equations in Fourier space for calculation of the stimulus to the lateral line organ. The method is verified by flow simulations using the boundary element method. I present calculated stimuli for various distances to show how the hydrodynamic image of the object form is dampened with increasing distance. The functional dependence of the lateral line stimulus given the object form is invertible. Therefore an approximate reconstruction of the object form and flow field can be calculated given only the flow velocities at the lateral line. The complete flow field around the fish can be calculated online and in real time by convolution of the lateral line stimulus with an appropriate kernel. This operation can be performed by a neural net and is therefore a biologically plausible reconstruction mechanism. Plots of simulated flow field reconstructions are shown. The dependence of the reconstruction quality on the distance to the object is analyzed. This method can also be used by underwater vehicles, e.g. the AUV Snookie from TUM, to passively sense obstacles and avoid collisions with them. An implementation effort is in progress. Acknowledgements S. Urban is supported by CoTeSys. A. Vollmayr is supported by BCCN Munich and CoTeSys. Keywords: Lateral Line System, sensory processing, flow field reconstruction, object perception, surface reconstruction Conference: Bernstein Conference 2012, Munich, Germany, 12 Sep - 14 Sep, 2012. Presentation Type: Poster Topic: Sensory processing and perception Citation: Urban S, Vollmayr AN and Van Hemmen J (2012). Theory of reconstruction of stationary objects by the blind cave fish Mexican tetra using flow sensing . Front. Comput. Neurosci. Conference Abstract: Bernstein Conference 2012. doi: 10.3389/conf.fncom.2012.55.00032 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: 14 Jun 2012; Published Online: 12 Sep 2012. * Correspondence: Mr. Andreas N Vollmayr, TUM, München, Germany, andreas.vollmayr@tum.de 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 Sebastian Urban Andreas N Vollmayr J. Leo Van Hemmen Google Sebastian Urban Andreas N Vollmayr J. Leo Van Hemmen Google Scholar Sebastian Urban Andreas N Vollmayr J. Leo Van Hemmen PubMed Sebastian Urban Andreas N Vollmayr J. Leo Van Hemmen 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.