The breadth and complexity of natural behaviors inspires awe. Understanding how our
perceptions, actions, and internal thoughts arise from evolved circuits in the brain has …

In natural behaviour, animals actively interrogate their environments using endogenously
generated 'question-and-answer'strategies. However, in laboratory settings participants …

Interactions between the prefrontal cortex (PFC) and mediodorsal thalamus are critical for
cognitive flexibility, yet the underlying computations are unknown. To investigate …

Researchers have benefited from characterizing evidence-based decision making as a
process involving sequential sampling. More recently, sequential sampling models have …

Human perceptual decisions are often described as optimal. Critics of this view have argued
that claims of optimality are overly flexible and lack explanatory power. Meanwhile …

We review the current state of knowledge on the computational and neural mechanisms of
reinforcement-learning with a particular focus on fronto-striatal circuits. We divide the …

Perceptual decisions rely on learned associations between sensory evidence and
appropriate actions, involving the filtering and integration of relevant inputs to prepare and …

Sequential sampling models have provided a dominant theoretical framework guiding
computational and neurophysiological investigations of perceptual decision-making. While …

Recent studies in mice reveal widespread cortical signals during task performance;
however, the various task-related and task-independent processes underlying this activity …

Legged robots are very promising for use in real-world applications, but their operation in
narrow spaces is still challenging. One solution for enhancing their environmental …