In recent trends, artificial intelligence (AI) is used for the creation of complex automated
control systems. Still, researchers are trying to make a completely autonomous system that …

There is and has been a fruitful flow of concepts and ideas between studies of learning in
biological and artificial systems. Much early work that led to the development of …

Brain-wide circuits that coordinate affective and social behaviours intersect in the amygdala.
Consequently, amygdala lesions cause a heterogeneous array of social and non-social …

The outcome of a decision is often uncertain, and outcomes can vary over repeated
decisions. Whether decision outcomes should substantially affect behaviour and learning …

Humans evolved within a microbial ecosystem resulting in an interlinked physiology. The gut
microbiota can signal to the brain via the immune system, the vagus nerve or other host …

Ensuring safety and achieving human-level driving performance remain challenges for
autonomous vehicles, especially in safety-critical situations. As a key component of artificial …

Previous research has stressed the importance of uncertainty for controlling the speed of
learning, and how such control depends on the learner inferring the noise properties of the …

There has been increasing interest in using neuroimaging measures to predict psychiatric
disorders. However, predictions usually rely on large brain networks and large disorder …

Adaptive reward-related decision making requires accurate prospective consideration of the
specific outcome of each option and its current desirability. These mental simulations are …

Reinforcement learning allows organisms to predict future outcomes and to update their
beliefs about value in the world. The dorsal-lateral prefrontal cortex (dlPFC) integrates …