A major shift is happening within neurophysiology: a population doctrine is drawing level
with the single-neuron doctrine that has long dominated the field. Population-level ideas …

Highlights•Computation noise drives human decision variability under uncertainty.•
Computation noise sets cognitive constraints on information processing.•Computation noise …

Perceptual choices depend not only on the current sensory input but also on the behavioral
context, such as the history of one's own choices. Yet, it remains unknown how such history …

INTRODUCTION Research on the neurobiology of decision-making has emerged as a fertile
ground for integrating cognitive, systems, computational, and, more recently, circuit and …

Extracting the temporal structure of sequences of events is crucial for perception, decision-
making, and language processing. Here, we investigate the mechanisms by which the brain …

A Pavlovian bias to approach reward-predictive cues and avoid punishment-predictive cues
can conflict with instrumentally-optimal actions. Here, we propose that the brain arbitrates …

We present an integrated view of interval timing and reinforcement learning (RL) in the
brain. The computational goal of RL is to maximize future rewards, and this depends …

Schizophrenia is characterized by abnormal perceptions and beliefs, but the computational
mechanisms through which these abnormalities emerge remain unclear. One prominent …

Nearly all animals forage to acquire energy for survival through efficient search and
resource harvesting. Patch exploitation is a canonical foraging behaviour, but there is a …

Many decisions under uncertainty entail the temporal accumulation of evidence that informs
about the state of the environment. When environments are subject to hidden changes in …