Previous investigations of the neural code for complex object shape have focused on two-
dimensional pattern representation. This may be the primary mode for object vision given its …

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There are two basic problems in the statistical analysis of neural data. The “encoding”
problem concerns how information is encoded in neural spike trains: can we predict the …

Highlights•Deep neural networks (DNNs) now reach human-level performance on some
perceptual tasks.•They show human-like error patterns and predict sensory cortical …

Although many studies have shown that attention to a stimulus can enhance the responses
of individual cortical sensory neurons, little is known about how attention accomplishes this …

Many decisions are thought to arise via the accumulation of noisy evidence to a threshold or
bound. In perception, the mechanism explains the effect of stimulus strength, characterized …

Contours and textures are important attributes of object surfaces, and are often described by
combinations of local orientations in visual images. To elucidate the neural mechanisms …

The extrastriate cortex of primates encompasses a substantial portion of the cerebral cortex
and is devoted to the higher order processing of visual signals and their dispatch to other …

In the theoretical framework of this paper, attention is part of the inference process that
solves the visual recognition problem of what is where. The theory proposes a …

How do neuronal populations represent concurrent stimuli? We measured population
responses in cat primary visual cortex (V1) using electrode arrays. Population responses to …