Ayaka Kato

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 that RNNs can learn task structure with random feedback and biological constraints without needing offline updates or eligibility traces.

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

This study shows that dopaminergic neurons in Drosophila update the value of odors during navigation, independent of associative learning.

The paper introduces CPSYMAP, a database that visualizes computational psychiatry research papers in a 2D map to show distribution across neuroscience, psychiatry, and computational dimensions.

The paper proposes a dopamine-related mechanism involving successor representation and spiral RPE circuits that may explain difficulty in stopping habitual reward-seeking behaviors.