In a drug choice setting, rats’ preference is initially driven by deliberative processes but shifts to more automatic selection processes after extended training, in accordance with the sequential choice model.

A novel animal model of economic decision-making captures complex patterns of choice behavior similar to those of humans, opening the way for mechanistic studies to probe the neural basis for this important form of executive function.

Choice history signals bias the interpretation of current sensory input, akin to shifting endogenous attention toward (or away from) the previously selected interpretation.

A machine learning model, TweetyNet, make it possible to scale up annotation of birdsong across individual birds, days of song, and species.

A new model for phase precession accounts for theta sequence generation, suggests critical roles for interneurons, and predicts circuit properties to optimise memory storage.

A proposed model of optimal inference under cognitive costs accounts for human sequential effects, including subtle patterns of attractive and repulsive influence of past observations, in a binary prediction task across a wide range of stimulus conditions.

Error detection is contingent on the continuation of evidence accumulation after choice commitment, and the speed and accuracy of this process are modulated by high-level signals from medial frontal cortex.

Neuronal activity in the primate orbitofrontal cortex reveals different choice biases observed when offers are presented sequentially originate at different stages of the decision process.

Whenever monkeys are required to choose between multiple options, neural responses indicate that they first select the desired outcome and then use this information to guide their actions.

Initial confidence and choice in a decision, and their potential revision, arise from a common mechanism that challenges models that claim confidence and decision processes are dissociated.