Fueled by innovation in the computer vision and artificial intelligence communities, recent
developments in computational neuroscience have used goal-driven hierarchical …

Cognitive neuroscience, in particular research on speech and language, has seen an
increase in the use of linear modeling techniques for studying the processing of natural …

The anatomy of the mammalian visual system, from the retina to the neocortex, is organized
hierarchically. However, direct observation of cellular-level functional interactions across this …

Deep neural networks currently provide the best quantitative models of the response
patterns of neurons throughout the primate ventral visual stream. However, such networks …

A neuronal population encodes information most efficiently when its stimulus responses are
high-dimensional and uncorrelated, and most robustly when they are lower-dimensional …

Converging evidence suggests that the primate ventral visual pathway encodes increasingly
complex stimulus features in downstream areas. We quantitatively show that there indeed …

Despite great efforts over several decades, our best models of primary visual cortex (V1) still
predict spiking activity quite poorly when probed with natural stimuli, highlighting our limited …

We have recently seen tremendous progress in photo-real human modeling and rendering.
Yet efficiently rendering realistic human performance and integrating it into the rasterization …

To understand how the brain processes sensory information to guide behavior, we must
know how stimulus representations are transformed throughout the visual cortex. Here we …

The ventral visual stream underlies key human visual object recognition abilities. However,
neural encoding in the higher areas of the ventral stream remains poorly understood. Here …