Learning from successes and failures often improves the quality of subsequent decisions.
Past outcomes, however, should not influence purely perceptual decisions after task …

Humans and animals are endowed with a large number of effectors. Although this enables
great behavioral flexibility, it presents an equally formidable reinforcement learning problem …

Accounts of decision-making and its neural substrates have long posited the operation of
separate, competing valuation systems in the control of choice behavior. Recent theoretical …

All animals use olfactory information to perform tasks essential to their survival. Odors
typically activate multiple olfactory receptor neuron (ORN) classes and are therefore …

Quantitative models of behavior are a fundamental tool in cognitive science. Typically,
models are hand-crafted to implement specific cognitive mechanisms. Such “classic” models …

Olfaction is determinant for the organization of rodent behavior. In a feeding context, rodents
must quickly discriminate whether a nutrient can be ingested or whether it represents a …

Realistic and complex decision tasks often allow for many possible solutions. How do we
find the correct one? Introspection suggests a process of trying out solutions one after the …

Model-free and model-based computations are argued to distinctly update action values that
guide decision-making processes. It is not known, however, if these model-free and model …

How does the similarity between stimuli affect our ability to learn appropriate response
associations for them? In typical laboratory experiments learning is investigated under …

Flexible decision-making in dynamic environments requires both retrospective appraisal of
reinforced actions and prospective reasoning about the consequences of actions. These …