Combining light microscopy and electron microscopy uncovered patterns of neural connectivity in a zebra finch forebrain region capable of generating song-related sequential activity, contributing to our understanding of the neural circuitry that underlies skilled motor performance.

Despite differences in cellular architecture the brains of monkeys and crows produce comparable limits of working memory with comparable mechanisms.

Single-neuron spikes in a network model of the turtle cortex trigger reliable, yet flexible sequences of activity through a sparse backbone of strong synaptic connections.

A novel statistical algorithm for mining high-dimensional spike train (count) data for significant spatio-temporal patterns reveals new insights into task and brain area dependent functional organization of neural activity.

As mice learn to associate events separated in time, neurons within the CA1 region of the hippocampus progressively reorganize their firing patterns, leading to a relay of cellular activity that bridges the two events.

Optogenetic and electrical stimulation of primary visual cortex neurons reveals synaptic and cell-intrinsic mechanisms that underlie neuronal ensemble formation.

A computational model shows that it's possible to learn and replay extended temporal sequences in a network of spiking neurons with a modular architecture and a biologically realistic learning rule.

Biologically plausible changes in the excitabilities of single neurons may suffice to selectively modulate sequential network dynamics, without modifying of recurrent connectivity.

Computational simulations and data analysis show that random clustering in the connections of neurons receiving minimal external cues can generate place fields and their spontaneous activation in trajectory-like sequences.