Download Biomimetic and Biohybrid Systems: 5th International by Nathan F. Lepora, Anna Mura, Michael Mangan, Paul F.M.J. PDF

By Nathan F. Lepora, Anna Mura, Michael Mangan, Paul F.M.J. Verschure, Marc Desmulliez, Tony J. Prescott

This booklet constitutes the court cases of the fifth overseas convention on Biomimetic and Biohybrid structures, dwelling Machines 2016, held in Edinburgh, united kingdom, in July 2016. The 34 complete and 27 brief papers provided during this quantity have been conscientiously reviewed and chosen from sixty three submissions.The topic of the convention encompasses biomimetic tools for manufacture, fix and recycling encouraged through traditional strategies suchas replica, digestion, morphogenesis and metamorphosis.

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Additional info for Biomimetic and Biohybrid Systems: 5th International Conference, Living Machines 2016, Edinburgh, UK, July 19-22, 2016. Proceedings

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It 2 Department of Intelligent Systems and Production Engineering (ISPE IDS/TKS), FZI Research Center for Information Technology, Haidund-Neu-Str. 10-14, 76131 Karlsruhe, Germany 3 ´ Blue Brain Project (BBP), Ecole polytechnique f´ed´erale de Lausanne (EPFL), Campus Biotech, Bˆ atiment B1, Ch. des Mines 9, 1202 Geneva, Switzerland 4 Department of Software Engineering (SE), FZI Research Center for Information Technology, Haid-und-Neu-Str. 10-14, 76131 Karlsruhe, Germany 5 Department of Informatics, Technical University of Munich, Boltzmannstrae 3, 85748 Garching, Germany 6 Department of Computer Architecture and Technology, CITIC, University of Granada, Granada, Spain Abstract.

References 1. : Bio Design, pp. 7–8. The Museum of Modern Art, New York (2012) 2.

Since we are using one neuron per pixel on an horizontal stripe of pixels, the two maxima will correspond to two column indexes of the original image, which we will call p1 and p2 . For each population we obtain the said column index by computing first the maximum neural spike rate, then taking the first neuron index with that spike rate. 2 is determined empirically and prevents quick eye movements that could result in the target loss from the robot sight. 1 Results Target Detection In this experiment the controller has been validated by testing only its target detection capabilities without any actuation on the robot.

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