Environmental stimuli and objects, including rewards, are often processed sequentially in
the brain. Recent work suggests that the phasic dopamine reward prediction-error response …

Rewards are crucial objects that induce learning, approach behavior, choices, and
emotions. Whereas emotions are difficult to investigate in animals, the learning function is …

Neuroscience has focused on the detailed implementation of computation, studying neural
codes, dynamics and circuits. In machine learning, however, artificial neural networks tend …

Visual attention enables us to selectively prioritize or suppress information in the
environment. Prominent models concerned with the control of visual attention differentiate …

We determined how learning modifies neural representations in primary visual cortex (V1)
during acquisition of a visually guided behavioral task. We imaged the activity of the same …

Sensory information encoded by humans and other organisms is generally presumed to be
as accurate as their biological limitations allow. However, perhaps counterintuitively …

Sequential sampling models have provided a dominant theoretical framework guiding
computational and neurophysiological investigations of perceptual decision-making. While …

Advances on several fronts have refined our understanding of the neuronal mechanisms of
attention. This review focuses on recent progress in understanding visual attention through …

Besides their fundamental movement function evidenced by Parkinsonian deficits, the basal
ganglia are involved in processing closely linked non-motor, cognitive and reward …

Neurons in early visual cortical areas not only represent incoming visual information but are
also engaged by higher level cognitive processes, including attention, working memory …