Enhanced hippocampal-cortical network communication during memory retrieval flexibly tracks the quality and content of memories for complex past events.

Population cortical recordings and computational network modeling support a novel mechanism underlying spontaneous UP-DOWN dynamics consisting on non-rhythmic transitions between a silent attractor and a low-rate inhibition-stabilized attractor.

The strongly coupled theoretical regime describes the function of mouse sensory and motor cortical areas.

A new cortical network model fit directly to multi-neuron recordings reveals that local inhibitory feedback can control neural dynamics, modulate brain state and enhance sensory processing.

Central thalamus relay neurons dynamically switch the activity of cortical and subcortical networks at distinct frequencies, providing a mechanism for this region's role in arousal regulation.

Mesoscale cortical calcium activity correlating with single cortical and thalamic cell spiking reveal rich dynamics and support a novel approach for investigating in vivo functional networks in the mammalian brain.

Dynamic changes in activity and connectivity of the human subthalamic nucleus reflect whether a decision will be made in haste or with caution.

Combining experimental and theoretical approaches reveals the interplay between optogenetic manipulation and recurrent interactions in mouse cortex.

The rapid learning of sensory information in cortical circuits is accompanied by a tight coordination of spike timing with the local theta-band population activity in visual cortex.

Large-scale electrocorticography and big data analysis of brain-wide neuronal interactions reveal the architecture of network information flow for context processing in primate brain.