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 …

Many tasks used to study decision-making encourage subjects to integrate evidence over
time. Such tasks are useful to understand how the brain operates on multiple samples of …

Peroxisomal biogenesis disorders (PBDs) are genetic disorders of peroxisome biogenesis
and metabolism that are characterized by profound developmental and neurological …

Cortical areas seem to form a hierarchy of intrinsic timescales, but the relevance of this
organization for cognitive behavior remains unknown. In particular, decisions requiring the …

Scientific experimentation depends on the artificial control of natural phenomena. The
inaccessibility of cognitive processes to direct manipulation can make such control difficult to …

Abstract Recurrent Neural Networks (RNNs) are one of the most successful neural network
architectures that deal with temporal sequences, eg, speech and text recognition. Recently …

Making accurate decisions based on unreliable sensory evidence requires cognitive
inference. Dysfunction of n-methyl-d-aspartate (NMDA) receptors impairs the integration of …

The brain is capable of processing several streams of information that bear on different
aspects of the same problem. Here, we address the problem of making two decisions about …

Major changes are underway in the field of perceptual decision-making. Single-neuron
studies have given way to population recordings with identified cell types, traditional …