Joshua I. Gold

This study shows that pupil diameter is not reliably linked to locus coeruleus activity modes, suggesting caution in using pupil size as a proxy for phasic and tonic LC-NE activity.

This paper introduces an information compass framework to model probabilistic reasoning in biological and artificial systems using information geometry.

The paper quantifies human inference variability using an information-bottleneck framework, finding that performance differences stem from variable information capacity while efficiency remains consistent.

The paper shows that sensory adaptation and arousal-related changes contribute to flexible evidence accumulation during perceptual decisions, with adaptation affecting evidence encoding and arousal influencing the accumulation process.

The paper investigates how different sources of expectations modulate communication between auditory and prefrontal cortices during auditory decision-making, finding distinct neurophysiological effects based on cue type.

The paper examines STN subpopulations in monkeys, showing their distinct roles in reward-biased decision-making by integrating sensory evidence and reward expectations.

This study analyzes 59 macaque studies to assess factors influencing choice probability, finding consistent patterns across tasks and regions with exceptions in bistable percepts and area V1.

This study examines how humans use flexible decision rules to terminate evidence accumulation, finding that participants adjust their strategies to improve reward rate under varying conditions.

This study analyzes LC neuron firing patterns across species and biological factors, revealing diverse activity patterns and subregions enriched for specific factors and disease models.

The paper shows humans adaptively weigh and accumulate evidence in correlated observation environments, aligning with normative principles.

This study uses single-unit recording and microstimulation in monkeys to show the subthalamic nucleus contributes to perceptual decision-making by modulating decision bounds and evidence accumulation.

This study shows humans prefer simpler explanations for uncertain data, aligning with formal model selection theories that penalize excessive flexibility.

This paper derives a normative decision model that uses adaptive thresholds to maximize reward in changing environments, showing better performance than constant-threshold models.

The paper compares how rule-based and stimulus-based cues influence auditory decisions, finding distinct computational and physiological mechanisms for each.

The paper examines how choice confidence and reward expectation are encoded in the caudate nucleus and frontal eye field during decision-making tasks in monkeys.

The paper investigates anticipatory response biases in human behavior using iEEG data and identifies distinct neural signatures for two types of biases.

The paper investigates how working-memory limitations affect perceptual decision-making by examining strategy-dependent degradation of a continuous decision variable over time and capacity.

The paper shows that locus coeruleus (LC) activation in awake monkeys affects coordinated activity patterns in the anterior cingulate cortex (ACC), with effects varying based on the type of LC activation and associated pupil changes.

The paper shows that humans use suboptimal inference strategies in rare-event tasks, inverting the bias-variance trade-off compared to optimal Bayesian strategies.

The paper investigates how the brain represents task-dependent errors during adaptive learning using fMRI and multi-voxel pattern classification.

This study shows that pupil diameter reflects individual differences in cognitive belief updating strategies during decision-making tasks.

The paper shows that dynamic changes in brain functional connectivity correlate with learning adjustments in uncertain environments, particularly increased integration between fronto-parietal and other systems.

This paper shows model-free and model-based learning strategies can be equally flexible and effective, challenging the assumption that model-based strategies are inherently more complex.

The paper investigates the balance between complexity and accuracy in inference strategies and finds a complexity dividend in moderately uncertain environments.

This study shows that post-decision processing in primate vlPFC influences subsequent auditory decisions by encoding sensory evidence and choice biases.

The paper shows that the caudate nucleus coordinates adaptive decision-making by integrating visual evidence and reward context in monkeys.

This study shows that decision-making biases in monkeys can be explained by rational satisficing strategies rather than suboptimal learning or physical limitations.

The paper shows that perceptual biases adjust with stimulus predictability and arousal to optimize perception in dynamic environments.