It is argued that understanding structural plasticity is a problem involving multiple temporal and spatial scales that requires collaborative efforts of experimentalists, theoreticians as well as computational modelers, and has the potential for comprehensive neuroscientific insights that can guide the development of m...
M. Fauth, Han Lu, Jannik Luboeinski et al.· arXiv.org· 0 citations
This paper presents an empirical study of position estimation for the small bioinspired robotic mouse TUCmouse. The objective was to integrate a low-cost inertial measurement unit (IMU) into the robot and evaluate whether approximate indoor position estimation can be achieved without external onboard localization sen...
Gantogoo Oyunbat, Sven Lange, Zhen-Shan Bing et al.· Artificial Life and Robotics· 0 citations
Biologically motivated artificial visual learning requires local plasticity rules to be evaluated within architectures whose connectivity assumptions remain explicit. Convolutional Hebbian networks demonstrate that competitive local learning can support visual classification, but their performance is coupled to exa...
Patrick Inoue, F. Röhrbein, Andreas Knoblauch· Frontiers in Computational N...· 0 citations
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