In this Review, we describe the singular success of attractor neural network models in
describing how the brain maintains persistent activity states for working memory, corrects …

Cognition can be conceptualized as a set of algorithmic control functions whose real-time
deployment determines how an organism stores and uses information to guide thought and …

Several challenges to current views of thalamocortical processing are offered here.
Glutamatergic pathways in thalamus and cortex are divided into two distinct classes: driver …

Reversible silencing of neuronal activity is a powerful approach for isolating the roles of
specific neuronal populations in circuit dynamics and behavior. In contrast with neuronal …

Recurrent cortical activity sculpts visual perception by refining, amplifying or suppressing
visual input. However, the rules that govern the influence of recurrent activity remain …

Cortical neurons exhibit tremendous variability in the number and temporal distribution of
spikes in their discharge patterns. Furthermore, this variability appears to be conserved over …

It has previously been suggested that neurons with line and edge selectivities found in
primary visual cortex of cats and monkeys form a sparse, distributed representation of …

The neocortex generates periods of recurrent activity, such as the slow (0.1–0.5 Hz)
oscillation during slow-wave sleep. Here we demonstrate that slices of ferret neocortex …

It is widely recognized that the neural basis of brain function can be fully understood only by
integrating many disciplines at many levels. Studies of synaptic organization are bringing …

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 …