George H. Denfield

The paper investigates how macaque V4 neurons respond to natural images using features from CNNs trained on various tasks, finding V4 is best predicted by semantic features and shows task selectivity.

The paper develops a divisive normalization model informed by V1 neuron responses to natural images, showing orientation-specific normalization within receptive fields.

This paper uses deep convolutional neural networks to predict spiking activity in primate V1 and finds they outperform traditional models.

This study investigates how attentional fluctuations affect correlated variability in macaque primary visual cortex, finding significant effects at both long and short timescales.