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Compact internal representation of dynamic situations: neural network implementing the causality principle., , and . Biol. Cybern., 103 (4): 285-297 (2010)Holistic Model of Cognitive Limbs for Dynamic Situations., , , , and . NEUROTECHNIX, page 60-67. SciTePress, (2017)Roving Robots Gain from an Orientation Algorithm of Fruit Flies and Predict a Fly Decision-Making Algorithm., , , , , , and . Living Machines, volume 8608 of Lecture Notes in Computer Science, page 433-435. Springer, (2014)Benchmarking of tools for axon length measurement in individually-labeled projection neurons., , , , , , , and . PLoS Comput. Biol., (2021)Effects of Spike Anticipation on the Spiking Dynamics of Neural Networks., , , , and . Frontiers Comput. Neurosci., (2015)Semantic Knowledge Representation for Strategic Interactions in Dynamic Situations., , , , , , , and . Frontiers Neurorobotics, (2020)Prediction-for-CompAction: navigation in social environments using generalized cognitive maps., , and . Biol. Cybern., 109 (3): 307-320 (2015)Cognitive Neural Network Driving DoF-Scalable Limbs in Time-Evolving Situations., , , , , and . IJCNN, page 1-7. IEEE, (2018)Compact Internal Representation of Dynamic Environments: Simple Memory Structures for Complex Situations., , and . Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II, volume 21 of Cognitive Systems Monographs, Springer, (2014)Neural Network Architecture for Cognitive Navigation in Dynamic Environments., and . IEEE Trans. Neural Networks Learn. Syst., 24 (12): 2075-2087 (2013)