Jirui Liu

The paper investigates how low-dimensional frontal feedback resolves visual ambiguity in the human brain using fMRI, EEG, and computational models.

The paper shows that stimulus-driven changes in neuronal connectivity and thermodynamic states lead to more efficient coding in mouse V1 by reorganizing neural activity onto low-dimensional manifolds.

This paper introduces a computational model to study the emergence of cognitive modules, finding that a face-processing module arises due to structural constraints rather than task demands.

This study investigates how structured interconnectivity in neural networks balances selectivity and generality in object recognition using neurophysiological data and computational modeling.