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

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

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.

The strongest peak frequency of brain oscillations in a brain area decreases significantly, gradually and robustly along the posterior-anterior axis following the global hierarchy from early sensory to higher order areas.

Computational and theoretical models show that rate adaptation of phase responses can regulate Purkinje cell outputs by forming transient oscillations in fast-spiking neurons.

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.

An individualized cross-frequency coupling approach identified slow oscillation-spindle coupling strength as a novel mechanism that mediates memory formation during cortical maturation.

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

State anxiety alters the dynamics of beta oscillations during reward-dependent motor learning, thereby impairing proper updating of motor predictions when learning in unstable environments.