Research on confidence spreads across several sub-fields of psychology and neuroscience.
Here, we explore how a definition of confidence as Bayesian probability can unify these …

The concept that neural information is encoded in the firing rate of neurons has been the
dominant paradigm in neurobiology for many years. This paradigm has also been adopted …

The prominence of Bayesian modeling of cognition has increased recently largely because
of mathematical advances in specifying and deriving predictions from complex probabilistic …

It has been suggested that the lateral intraparietal area (LIP) of macaques plays a
fundamental role in sensorimotor decision-making. We examined the neural code in LIP at …

Making decisions in uncertain environments often requires combining multiple pieces of
ambiguous information from external cues. In such conditions, human choices resemble …

The neural origins of spontaneous or self-initiated actions are not well understood and their
interpretation is controversial. To address these issues, we used a task in which rats decide …

Delusions are the false and often incorrigible beliefs that can cause severe suffering in
mental illness. We cannot yet explain them in terms of underlying neurobiological …

Categorical choices are preceded by the accumulation of sensory evidence in favor of one
action or another. Current models describe evidence accumulation as a continuous process …

The real world is uncertain, and while ever changing, it constantly presents itself in terms of
new sets of behavioral options. To attain the flexibility required to tackle these challenges …

Trained neural network models, which exhibit features of neural activity recorded from
behaving animals, may provide insights into the circuit mechanisms of cognitive functions …