Over the past decade fMRI researchers have developed increasingly sensitive techniques
for analyzing the information represented in BOLD activity. The most popular of these …

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 …

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 …

How the human auditory system extracts perceptually relevant acoustic features of speech is
unknown. To address this question, we used intracranial recordings from nonprimary …

The human capacity to recognize complex visual patterns emerges in a sequence of brain
areas known as the ventral stream, beginning with primary visual cortex (V1). We developed …

Considerable progress has been made toward developing still picture perceptual quality
analyzers that do not require any reference picture and that are not trained on human …

There is no generally accepted account of the function of the second visual cortical area
(V2), partly because no simple response properties robustly distinguish V2 neurons from …

We rarely, if ever, repeatedly encounter exactly the same situation. This makes
generalization crucial for real world decision making. We argue that categorization, the study …

In this paper, we propose an efficient blind image quality assessment (BIQA) algorithm,
which is characterized by a new feature fusion scheme and a k-nearest-neighbor (KNN) …

Amblyopia, a developmental disorder of spatial vision, is thought to result from a cascade of
cortical deficits over several processing stages beginning at the primary visual cortex (V1) …