All neuronal circuits are subject to neuromodulation. Modulatory effects on neuronal
processing and resulting behavioral changes are most commonly reported for higher order …

We propose that economic choice can be understood as a gradual transformation from a
domain of options to one of the actions. We draw an analogy with the idea of untangling …

During decision making, neurons in multiple brain regions exhibit responses that are
correlated with decisions,,,,,. However, it remains uncertain whether or not various forms of …

An animal's decision depends not only on incoming sensory evidence but also on its
fluctuating internal state. This state embodies multiple cognitive factors, such as arousal and …

Bayesian models of behavior suggest that organisms represent uncertainty associated with
sensory variables. However, the neural code of uncertainty remains elusive. A central …

The variable responses of sensory neurons tend to be weakly correlated (spike-count
correlation, r sc). This is widely thought to reflect noise in shared afferents, in which case r sc …

Highlights•Models combining drift-diffusion and optimality can explain multisensory
discrimination behavior.•A distributed network with multiple redundant pathways is involved …

The ability to group physical stimuli into behaviorally relevant categories is fundamental to
perception and cognition. Despite a large body of work on stimulus categorization at the …

Fluctuations in the activity of sensory neurons often predict perceptual decisions. This
connection can be quantified with a metric called choice probability (CP), and there is a …

The physiological response properties of neurons in the visual system are inherited mainly
from feedforward inputs. Interestingly, feedback inputs often outnumber feedforward inputs …