Synaptic connections are continuously formed and eliminated even in adult neuronal networks. This process - called structural plasticity - allows networks to change their topology to learn and adapt to their environment or compensate for lesions. Yet, in contrast to synaptic plasticity, structural plasticity is less we...
M. Fauth, Han Lu, Jannik Luboeinski et al.· 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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