Low-contrast dynamic random noise was continuously present throughout the trial. For instance, they might govern the decision maker’s ability to overcome his or her intrinsic bias.Įach trial of the detection task began with a baseline interval of variable duration, followed by an auditory cue that signaled the start of the subsequent decision interval ( Fig. If so, these systems might affect the decision process, over and above shortening the time to respond. Thus, these brainstem systems might also shape decision computations in cortical networks-provided that they are activated already during decision formation. The modulatory neurotransmitters released from the projections of these brainstem systems, in turn, shape the internal state of cortical networks, for instance, by boosting the gain of neural interactions ( 5, 7, 26). These neuromodulatory systems also activate briefly (“phasically”) during perceptual decisions, such as visual target detection ( 5, 20– 24), likely mediated via feedback connections from the prefrontal cortex ( 5, 25). It has been proposed that the decision-related pupil dilation tracks the activity of certain neuromodulatory systems of the brainstem-in particular, the noradrenergic locus coeruleus ( 5, 7– 9, 18) and, possibly, the cholinergic basal forebrain ( 19) systems. Changes in brain state seem to interact with biased decision making in the face of uncertainty.Ĭhanges in pupil size are also linked to changes in brain state. We conclude that the central neuromodulatory systems controlling pupil size are continuously engaged during decision formation in a way that reveals how the upcoming choice relates to the decision maker’s attitude. Remarkably, the magnitude of this pupil choice effect (yes > no) reflected the individual criterion: it was strongest in conservative subjects choosing yes against their bias. The overall amplitude of pupil dilation during decision formation was bigger before yes than no choices, irrespective of the physical presence of the target signal. This sustained component was larger than the transient component during the final choice (indicated by button press). Linear systems analysis revealed that the pupil was significantly driven by a sustained input throughout the course of the decision formation. “no”) of a visual contrast signal embedded in dynamic noise. We measured pupil size while subjects formed protracted decisions about the presence or absence (“yes” vs. Here, we present pupil results that run contrary to this proposal, suggesting an important intradecisional role. It has been proposed that pupil-linked neuromodulatory systems are activated by the termination of decision processes, and, consequently, that these systems primarily affect the postdecisional brain state. These decision-related changes in pupil size are mediated by central neuromodulatory systems, which also influence the internal state of brain regions engaged in decision making. A number of studies have shown that pupil size increases transiently during effortful decisions.
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