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.
Computational modelling shows that coupled theta and gamma oscillations in the auditory cortex can decompose speech into its syllabic constituents, and organize the neural spiking at faster timescale into a decodable format.
The existence of traveling waves in the medial entorhinal cortex, like those observed in the hippocampus, supports the hypothesis that traveling waves coordinate the activity of anatomically distributed circuits.
Brain imaging reveals frequency-dependent lateralized rhythmic finger tapping control by the auditory cortex with left-lateralized control of relative fast and right-lateralized control of relative slow rhythms.
A combination of signal processing and machine learning form a new approach to classify oscillatory coupling in single cycles without averaging over time and to capture cycle-by-cycle changes in coupling.