title: Fluctuations in oscillation frequency control spike timing and coordinate neural networks.
abstract: Neuroscience research spans multiple spatiotemporal scales, from subsecond dynamics of individual neurons to the slow coordination of billions of neurons during resting state and sleep. Here it is shown that a single functional principle-temporal fluctuations in oscillation peak frequency ("frequency sliding")-can be used as a common analysis approach to bridge multiple scales within neuroscience. Frequency sliding is demonstrated in simulated neural networks and in human EEG data during a visual task. Simulations of biophysically detailed neuron models show that frequency sliding modulates spike threshold and timing variability, as well as coincidence detection. Finally, human resting-state EEG data demonstrate that frequency sliding occurs endogenously and can be used to identify large-scale networks. Frequency sliding appears to be a general principle that regulates brain function on multiple spatial and temporal scales, from modulating spike timing in individual neurons to coordinating large-scale brain networks during cognition and resting state.
authors.affiliation: Psychology Department, University of Amsterdam, 1018 XA Amsterdam, The Netherlands mikexcohen@gmail.com.
authors.forename: Michael X
authors.initials: MX
authors.lastname: Cohen
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000328:Adult; D003198:Computer Simulation; D004569:Electroencephalography; D005260:Female; D006801:Humans; D008297:Male; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D010775:Photic Stimulation; D059629:Signal-To-Noise Ratio; D013997:Time Factors; D014796:Visual Perception / Q000502:physiology*
keywords: EEG; connectivity; networks; oscillations; resting state; spike threshold