When a common error drives parallel implicit and explicit learning systems, increases in the explicit response will suppress implicit adaptation.

Evidence for neuromodulatory control of flexibility in human neural models.

Mere exposure to scenes with statistical contingencies in the visual or haptic modality alone allows participants to decompose scenes into object-like multimodal representations.

Learning in children with autism spectrum disorder (ASD) was achieved by fundamentally different cognitive and neural mechanisms from typically developing children, and insistence on sameness, a core symptom of ASD, contributed to such atypical mechanisms of learning in affected children.

Teaching signals from "tutor" brain areas should be adapted to the plasticity mechanisms in "student" areas to achieve efficient learning in two-stage systems such as the vocal control circuit of the songbird.

Applying computational modeling to quantify threat learning processes uncovers how variations in these conserved learning processes relate to anxiety severity and the neuroanatomical substrates moderating these associations.

Muscarinic acetylcholine receptor type A in adult Drosophila inhibits Kenyon cells, and is required for aversive olfactory learning and learning-associated synaptic depression between Kenyon cells and their output neurons.

A human psychopharmacology study reveals that a drug that affects the dopamine and noradrenaline systems enhances people's ability to adapt their learning rate to suit the volatility of the environment.

Distinct computational levels of uncertainty compel agents to gain information about hidden states in the world (‘active inference’) or optimise their ‘world model’ as such (‘active learning’).

A mathematical model built around the assumption that the desire to maintain internal homeostasis drives the behavior of animals, by affecting their learning processes, can explain many real-world behaviors, including some that might otherwise appear irrational.