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Titlebook: Biomimetic and Biohybrid Systems; 9th International Co Vasiliki Vouloutsi,Anna Mura,Paul F. M. J. Verschu Conference proceedings 2020 Sprin

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期刊全稱Biomimetic and Biohybrid Systems
期刊簡稱9th International Co
影響因子2023Vasiliki Vouloutsi,Anna Mura,Paul F. M. J. Verschu
視頻videohttp://file.papertrans.cn/189/188221/188221.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Biomimetic and Biohybrid Systems; 9th International Co Vasiliki Vouloutsi,Anna Mura,Paul F. M. J. Verschu Conference proceedings 2020 Sprin
影響因子This book constitutes the proceedings of the )th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2020, held in Freiburg, Germany, in July 2020. Due to COVID-19 pandemic the conference was held virtually.?The 32 full and 7 short papers presented in this volume were carefully reviewed and selected from 45 submissions. They deal with research on novel life-like technologies inspired by the scientific investigation of biological systems, biomimetics, and research that seeks to interface biological and artificial systems to create biohybrid systems.?.
Pindex Conference proceedings 2020
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書目名稱Biomimetic and Biohybrid Systems影響因子(影響力)




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Sai Charan Koduru,Rajiv Gupta,Iulian Neamtiuask is stable, the robot also autonomously shifts to the least costly system, which leads to a drastic reduction in computation cost while keeping a high performance. Overall, these results illustrates the interest of using multiple learning systems.
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Lecture Notes in Computer Sciencee by using the distributed and hierarchical organization proposed by the DAC theoretical framework. Moreover, we propose that a pro-social drive to cooperate exists at the Pavlovian level that can also bias the rest of the decision system, thus extending current state-of-the-art descriptive models b
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Keshav Pingali,Utpal Banerjee,David Paduaethods. The experimental results from a virtual exploration task highlight the potential of the presented methods towards enabling robots to autonomously explore unknown objects, yielding information about shape and structure of the underlying object and thus, opening doors to robotic applications w
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Vasiliki Vouloutsi,Anna Mura,Paul F. M. J. Verschu
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Improving Recall in an Associative Neural Network Model of the Hippocampus,ndritic inhibition acted as a non-specific global threshold machine that removed spurious activity during recall. Simulations showed recall quality improved when the network’s memory capacity increased as the number of active cells per pattern decreased. Furthermore, increased firing rate of a presy
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