Embodiment.- How to Design Morphologies. A Design Process for Autonomous Robots.- Exploring sensitization in the context of extending the behavior of an artificial agent.- Investigating a Minimal Categorical Perception Task with a Node-Based Sensorimotor Map.- Deep Gaussian Processes for Angle and Position Discrimination in Active Touch Sensing.- Neural Body Bending Control with Temporal Delays for Millipede-Like Turning Behaviour of a Multi-Segmented, Legged Robot.- Brain-Inspired Control, Adaptation, and Learning.- Yoking-Based Identification of Learning Behavior in Artificial and Biological Agents.- Is free energy an organizational principle in spiking neural networks?.- Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy.- Adaptive Inhibition for Optimal Energy Consumption by Animals, Robots and Neurocomputers.- Adapting to Environment Changes through Neuromodulation of Reinforcement Learning.- Multi-task learning with modular reinforcement learning.- Bio-inspired Vision and navigation.- Same/different concept: an embodied spiking neural model in a learning context.- Sparse and topological coding for visual localisation of autonomous vehicles.- Contribution of the retrosplenial cortex to path integration signatures and spatial codes.- Flexible Path Planning in a Spiking Model of Replay and Vicarious<div>Trial and Error.- Affective and Social Cognition and Collective Intelligence.- Impact of the Update Time on the Aggregation of Robotic Swarms through Informed Robots.- On the Adaptive Value of Mood and Mood Contagion.</div>