Reidar Riveland

The paper identifies how medial frontal cortex integrates semantic content and sensory evidence for decision-making using human neurosurgical data and a vision-language model.

This paper introduces a neural model that uses low-dimensional representations of module reuse to accelerate learning, showing consistency with primate behavioral and neural data.

The paper develops a neural model that uses natural language instructions to perform novel tasks with 83% accuracy through 0-shot learning, showing how language shapes sensorimotor representations.