Cheng Qiu

The paper shows that gradient descent learning in neural networks creates representations sensitive to common image features, mirroring efficient coding principles observed in animal sensory systems.

The paper clarifies a decoding model proposed by Ding et al. and shows that using high-level information to constrain low-level decoding does not improve perceptual performance.