The cognitive concept of representation plays a key role in theories of brain information
processing. However, linking neuronal activity to representational content and cognitive …

There is increasing evidence that the brain relies on a set of canonical neural computations,
repeating them across brain regions and modalities to apply similar operations to different …

Mounting evidence suggests that 'core object recognition,'the ability to rapidly recognize
objects despite substantial appearance variation, is solved in the brain via a cascade of …

Cognition results from interactions among functionally specialized but widely distributed
brain regions; however, neuroscience has so far largely focused on characterizing the …

Deep neural networks have revolutionized computer vision, and their object representations
across layers match coarsely with visual cortical areas in the brain. However, whether these …

Attention has been found to have a wide variety of effects on the responses of neurons in
visual cortex. We describe a model of attention that exhibits each of these different forms of …

Despite tremendous variation in the appearance of visual objects, primates can recognize a
multitude of objects, each in a fraction of a second, with no apparent effort. However, the …

Understanding the neural code is critical to linking brain and behavior. In sensory systems,
divisive normalization seems to be a canonical neural computation, observed in areas …

Neurons within a small (a few cubic millimeters) region of visual cortex respond to stimuli
within a restricted region of the visual field. Previous studies have characterized the …

In many regions of the visual system, the activity of a neuron is normalized by the activity of
other neurons in the same region. Here we show that a similar normalization occurs during …