Matthew Heflin

The paper records single neuron activity in the substantia nigra during social learning tasks and finds dopaminergic neurons encode norm prediction error valence more strongly during human vs computer interactions.

This paper shows that dopamine and serotonin changes during deep brain stimulation predict symptom relief in treatment-resistant depression.

This paper develops a multiclass classification framework to identify shared and substance-specific neural circuits in cannabis and alcohol use disorder using functional connectivity features from cue-induced craving tasks.

This study shows human substantia nigra neurons encode reward expectations through firing rates modulated by trial outcomes and linked to reaction times.

The paper shows that nicotine-related beliefs in smokers induce dose-like thalamic responses and functional coupling with prefrontal cortex, similar to pharmacological effects.

The paper shows humans use forward thinking to guide social choices, with neural activity reflecting control beliefs in specific brain regions.

This paper develops an interpretable decoding model using functional connectivity to classify chronic marijuana users and non-users with high accuracy.