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Distributed Adaptive Control: A Proposal on the Neuronal Organization of Adaptive Goal Oriented Behavior., , , , , , , and . From Motor Learning to Interaction Learning in Robots, volume 264 of Studies in Computational Intelligence, Springer, (2010)An embodied biologically constrained model of foraging: from classical and operant conditioning to adaptive real-world behavior in DAC-X., , , , and . Neural Networks, (2015)The neuronal substrate underlying order and interval representations in sequential tasks: A biologically based robot study., , , and . IJCNN, page 1-8. IEEE, (2010)Hidden Markov Models Predict the Future Choice Better Than a PSTH-Based Method., , and . Neural Comput., 31 (9): 1874-1890 (2019)The importance of urgency in decision making based on dynamic information., , and . PLoS Comput. Biol., (2021)Generalization of Integrator Models to Foraging: A Robot Study Using the DAC9 Model., , , and . Living Machines, volume 7375 of Lecture Notes in Computer Science, page 156-167. Springer, (2012)Integrating neuroscience-based models towards an autonomous biomimetic Synthetic Forager., , , , , and . ROBIO, page 210-215. IEEE, (2011)The Hierarchical Accumulation of Knowledge in the Distributed Adaptive Control Architecture., , , , and . Computational and Robotic Models of the Hierarchical Organization of Behavior, Springer, (2013)The Complementary Roles of Allostatic and Contextual Control Systems in Foraging Tasks., , and . SAB, volume 6226 of Lecture Notes in Computer Science, page 370-379. Springer, (2010)