The design of modern convolutional artificial neural networks (ANNs) composed of formal
neurons copies the architecture of the visual cortex. Signals proceed through a hierarchy …

Cortical neurons emit seemingly erratic trains of action potentials or “spikes,” and neural
network dynamics emerge from the coordinated spiking activity within neural circuits. These …

During periods of disengagement from the environment, transient population bursts, known
as sharp wave ripples (SPW-Rs), occur sporadically. While numerous experiments have …

The ability to comprehend phrases is an essential integrative property of the brain. Here, we
evaluate the neural processes that enable the transition from single-word processing to a …

Neural oscillations are evident across cortex but their spatial structure is not well-explored.
Are oscillations stationary or do they form “traveling waves”, ie, spatially organized patterns …

The field of network neuroscience has emerged as a natural framework for the study of the
brain and has been increasingly applied across divergent problems in neuroscience. From a …

Neural mass models have been used since the 1970s to model the coarse-grained activity
of large populations of neurons. They have proven especially fruitful for understanding brain …

One of the simplest mathematical models in the study of nonlinear systems is the Kuramoto
model, which describes synchronization in systems from swarms of insects to …

The thalamus is much more than a simple sensory relay. High-order thalamic nuclei, such as
the mediodorsal thalamus, exert a profound influence over animal cognition. However, given …

Sensory processing is distributed among many brain regions that interact via feedforward
and feedback signaling. Neuronal oscillations have been shown to mediate intercortical …