Priority maps are winner‐take‐all neural mechanisms thought to guide the allocation of
covert and overt attention. Here, we go beyond this standard definition and argue that …

This opinion article argues that noise (randomness) in neural activity is the limiting factor in
visual working memory (WM), determining how accurately we can maintain stable internal …

The posterior parietal cortex (PPC) receives diverse inputs and is involved in a dizzying
array of behaviors. These many behaviors could rely on distinct categories of neurons …

Intelligent agents balance speed of responding with accuracy of deciding. Stochastic
accumulator models commonly explain this speed-accuracy tradeoff by strategic adjustment …

Traditionally, insights into neural computation have been furnished by averaged firing rates
from many stimulus repetitions or trials. We pursue an analysis of neural response variance …

Despite many studies on selective attention, fundamental questions remain about its nature
and neural mechanisms. Here I draw from the animal and machine learning fields that …

The representation of value is a critical component of decision making. Rational choice
theory assumes that options are assigned absolute values, independent of the value or …

Working memory (WM) and decision-making (DM) are fundamental cognitive functions
involving a distributed interacting network of brain areas, with the posterior parietal cortex …

While numerous studies have explored the mechanisms of reward-based decisions (the
choice of action based on expected gain), few have asked how reward influences attention …

Cognitive neuroscientists study how the brain implements particular cognitive processes
such as perception, learning, and decision-making. Traditional approaches in which …