To use sensory information efficiently to make judgments and guide action in the world, the
brain must represent and use information about uncertainty in its computations for perception …

How the brain encodes information in population activity, and how it combines and manipulates
that activity as it carries out computations, are questions that lie at the heart of systems …

Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We
propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI…

Recent psychophysical experiments indicate that humans perform near-optimal Bayesian
inference in a wide variety of tasks, ranging from cue integration to decision making to motor …

▪ Abstract In the vertebrate nervous system, sensory stimuli are typically encoded through
the concerted activity of large populations of neurons. Classically, these patterns of activity …

When making a decision, one must first accumulate evidence, often over time, and then
select the appropriate action. Here, we present a neural model of decision making that can …

There is strong behavioral and physiological evidence that the brain both represents probability
distributions and performs probabilistic inference. Computational neuroscientists have …

Decision making often involves the accumulation of information over time, but acquiring
information typically comes at a cost. Little is known about the cost incurred by animals and …

Abstract Information is encoded in the brain by populations or clusters of cells, rather than
by single cells. This encoding strategy is known as population coding. Here we review the …

When facing uncertainty, adaptive behavioral strategies demand that the brain performs
probabilistic computations. In this probabilistic framework, the notion of certainty and confidence …