Medha Shekhar

This study shows that convolutional neural networks exhibit confidence-accuracy dissociations similar to humans when stimulus energy is manipulated, suggesting these effects arise from low-level representation changes rather than cognitive heuristics.

RTNet is a neural network that mimics human perceptual decision-making by generating stochastic decisions and human-like response time distributions, outperforming existing models.

The paper investigates neural circuits involved in perceptual decision making and confidence generation using fMRI, finding overlapping and some unique brain regions activated during these processes.

The paper shows that increasing sensory noise improves metacognitive efficiency by manipulating confidence ratings in a visual decision task.