Neural mechanisms of perceptual decision making have been extensively studied in
experimental settings that mimic stable environments with repeating stimuli, fixed rules, and …

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

Sensory perception is widely considered an inference process that reflects the best guess of
a stimulus feature based on uncertain sensory information. Here we challenge this …

Temporal accumulation of evidence is crucial for making accurate judgments based on
noisy or ambiguous sensory input. The integration process leading to categorical decisions …

The Bayesian brain hypothesis is one of the most influential ideas in neuroscience.
However, unstated differences in how Bayesian ideas are operationalized make it difficult to …

The decisions we make are shaped by a lifetime of learning. Past experience guides the
way that we encode information in neural systems for perception and valuation, and …

Perceptual decisions rely on accumulating sensory evidence. This computation has been
studied using either drift diffusion models or neurobiological network models exhibiting …

Two facts about cortex are widely accepted: neuronal responses show large spiking
variability with near Poisson statistics and cortical circuits feature abundant recurrent …

Many decisions result from the accumulation of decision-relevant information (evidence)
over time. Even when maximizing decision accuracy requires weighting all the evidence …

People's decisions are often informed by the choices of others. Evidence accumulation
models provide a mechanistic account of how such social information enters the choice …