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Social interactions are motivated behaviors that, in many species, facilitate learning. However,
how the brain encodes the reinforcing properties of social interactions remains unclear. In …

Basil (Ocimum basilicum L.) was dried using conventional hot air or the recently developed
vacuum-microwave dryers. The effect of the drying method on the relative abundance of …

Since 1995, numerous Actor–Critic architectures for reinforcement learning have been
proposed as models of dopamine-like reinforcement learning mechanisms in the rat’s basal …

In this article, we describe a new computational model of switching between path-planning
and cue-guided navigation strategies. It is based on three main assumptions: (i) the …

Essential oils from dill (Anethum graveolens L.), coriander (seeds of Coriandrum sativum L.),
cilantro (leaves of immature C. sativum L.) and eucalyptus (Eucalyptus dives) were …

Despite major progress in Robotics and AI, robots are still basically “zombies” repeatedly
achieving actions and tasks without understanding what they are doing. Deep-Learning AI …

How do we translate self-motion into goal-directed actions? Here we investigate the
cognitive architecture underlying self-motion processing during exploration and goal-directed …

Current learning theory provides a comprehensive description of how humans and other
animals learn, and places behavioral flexibility and automaticity at heart of adaptive behaviors. …

Drawing inspiration from biology, the Psikharpax project aims at endowing a robot with a
sensory-motor equipment and a neural control architecture that will afford some of the …