A novel framework for separating normal and pathological high-frequency oscillations in animals with epilepsy uncovers new mechanisms for impaired hippocampal network function.

Spontaneous theta oscillations and interneuron-specific phase preferences emerge spontaneously in a full-scale model of the isolated hippocampal CA1 subfield, corroborating and extending recent experimental findings.

Neural oscillations prior to a stimulus modulate the strength of early and late responses in opposite directions via distinct mechanisms.

Using a sequential neurofeedback-arm reaching task, a new link is established among population neural activity patterns, generation of beta oscillations, and motor behavior changes.

NF-κB oscillations synchronize to external perturbations as a damped oscillator, producing different transcription dynamics.

Theta oscillations synchronize perception with the emerging motor intention in an automatic and task-independent way.

Neural oscillations are a necessary consequence of efficient coding of sensory signals by a spiking neural network, limited by synaptic delays and noise.

An unexpected species difference in electrical coupling of analogous neuroendocrine dopamine neurons in rats and mice reveals a role for gap junction connectivity as a band-pass filter for oscillation frequency in neural networks.

Rapid forward engineering can be accomplished using cell-free systems, as demonstrated by the implementation and characterization of novel genetic oscillators in a cell-free system and their consequent transfer to cells.

Gamma-band oscillations show striking differences in stimulus selectivity compared to fMRI and broadband field potentials in human visual cortex, and are explained by a novel, image-computable model.