Michael D Browning

The paper shows that individuals with anxiety and depression have impaired ability to adapt learning rates to reward and punishment volatility, linked to reduced neural encoding in the anterior cingulate cortex.

This study shows how increased synaptic histamine affects hippocampal dynamics and learning by using a causal probe and analyzing neurocomputational strategies.

This paper shows that noradrenaline causes a spread of association in the hippocampal cognitive map, leading to overgeneralisation errors and predicted by physiological markers.

This study shows humans adapt to volatility but not noise, with imprecise noise estimates leading to misattribution as volatility.

This paper conducts a meta-analysis of dopamine and serotonin pharmacological manipulations in humans, finding distinct associations with reward and punishment reinforcement learning components.

This study uses a selective serotonin releasing agent to examine how increased synaptic serotonin affects decision-making in aversive contexts, finding reduced sensitivity to aversive outcomes and enhanced impulse control.

The paper shows that trait anxiety is linked to greater reliance on hidden-state inference during aversive reversal learning, as evidenced by steeper expectation switches and better model fit for state inference over gradual learning.

This study shows that tDCS to the dorsolateral prefrontal cortex increases reward learning rates in healthy adults, suggesting potential for treating mood disorders.

This study shows that affective biases from central arousal systems modulate inequality aversion in human negotiations, with pupil-linked activity encoding proposer reactions that influence decision-making.

This paper investigates the effects of emotion recognition training on neural responses and mood in individuals with high depressive symptoms, finding neural changes but no mood improvement.

This study examines if D-cycloserine enhances the effects of computerised CBT on spider fear by assessing changes in fear, behaviour, and cognitive biases.

This study investigates how losartan affects appetitive versus aversive learning in humans using a reinforcement learning task, finding it enhances learning from positive outcomes more than negative ones.

The paper uses fMRI data to predict emotional valence and pharmacologic effects of antidepressants, finding consistent emotional valence patterns but inconsistent drug-placebo discrimination.

This study shows that stimulating the prefrontal cortex reduces amygdala threat reactivity in individuals with high trait anxiety.

The paper shows that affective biases in processing rewards and punishments reflect estimates of their information content, with implications for depression treatment.