Binxu Wang

The paper shows that leading neural network models of primate visual cortex differ in their ability to control neural firing using parametric stimulus perturbations, revealing discrepancies in how models and neurons parameterize visual space.

The paper investigates how visual neurons in areas V1, V4, and PIT align with image manifolds from deep generative models, finding that PIT neurons adapt to both texture and object representations over time.

The paper presents a synaptic transfer mechanism that explains memory consolidation through nested oscillations in neural circuits.