Cortical gain regulation allows neurons to respond adaptively to changing inputs. Neural
gain is modulated by internal and external influences, including attentional and arousal …

Realizing high performance of ordinary robots is one of the core problems in robotic
research. Improving the performance of ordinary robots usually relies on the collaborative …

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 …

Cortical processing reflects the interplay of synaptic excitation and synaptic inhibition.
Rapidly accumulating evidence is highlighting the crucial role of inhibition in shaping …

Brain circuits process information through specialized neuronal subclasses interacting
within a network. Revealing their interplay requires activating specific cells while monitoring …

Five important trends have emerged from recent work on computational models of focal
visual attention that emphasize the bottom-up, image-based control of attentional …

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 …

Experience exerts a profound influence on the brain and, therefore, on behavior. When the
effect of experience on the brain is particularly strong during a limited period in …

The linear transform model of functional magnetic resonance imaging (fMRI) hypothesizes
that fMRI responses are proportional to local average neural activity averaged over a period …

We describe a learning-based method for low-level vision problems—estimating scenes
from images. We generate a synthetic world of scenes and their corresponding rendered …