Extended Data Fig. 6: Finegrained neural alignment results in the two-step task.
From: A foundation model to predict and capture human cognition
a, Pearson correlation coefficients between the predicted activity from Centaur’s representations and the BOLD data shown on a surface brain (image created with nilearn66). Centaur achieves the most accurate predictions in the left motor cortex. As participants performed the task with their right hand in the scanner, this effect may be explained by Centaur’s strong performance in predicting choices. b, Predictive performance of Centaur’s representations against alternatives for ROIs that have been identified as behaviorally relevant in previous work. Cortical scores are averaged over the corresponding bilateral parcels in the Schaefer atlas. The accumbens is defined based on the Harvard-Oxford atlas. Pearson correlation coefficients are shown for layer 20 but exhibit a similar pattern across all layers. Centaur outperformed Llama and the cognitive model in predicting activity in accumbens, the ROI from the original study that showed a reward prediction error effect19,37. We found a similar pattern in the medial PFC, another region that showed an effect in the original article37, as well as in the sensory and motor cortices.
