Tianming Yang

This study shows that concurrent uncertainty during decision-making is represented in the parietal cortex but not computed within the same circuit as perceptual evidence accumulation.

The paper identifies post-inhibitory rebound firing as a mechanism by which inhibition promotes activation in limbic circuits to drive male mating.

This study introduces a language model framework to analyze problem-solving behavior in humans and monkeys, revealing differences in complexity and evolution of their problem-solving strategies.

The paper develops an optimal policy model to study how uncertainty is estimated concurrently with decision making, showing that uncertainty responses are influenced by motion coherence and individual variations.

The paper shows that bottom-up attention based on stimulus salience dominates value encoding in the OFC, while top-down attention has a weaker influence.

This study shows that value-based decision making in monkeys occurs in the action domain of the prefrontal cortex, not through an intermediate stimulus-based stage.

This paper develops a recurrent neural network model for decision making that mimics animal behavior and neural activity patterns in tasks involving sensory input, action, and reward.

This study shows that OFC projections to V1 modulate visual response gain to non-relevant stimuli, facilitating visual associative learning.

The paper shows that OFC neurons in macaques represent reward magnitude, certainty, and volatility as orthogonal dimensions during a visual stimulus-reward task.

This study shows that covert attention shifts modulate orbitofrontal cortex activity to encode reward value during decision making.

This paper introduces a neural network model based on reservoir computing to simulate how the orbitofrontal cortex acquires and stores task state information during reinforcement learning.