Integration and segregation of information of memory and sensory in the hippocampus could be achieved by the coordination of distinct theta-gamma coding frameworks.
Inhibitory noninvasive stimulation to the precuneus disrupts theta and gamma oscillatory coupling between medial temporal lobes and neocortical regions during complex personal memory retrieval.
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.
Variations in the frequency of theta brain waves enable a single network of brain regions to generate appropriate responses to stimuli with different kinds of emotional value.
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.
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.
When the fear-enhancing effects of prior exposure to stress are absent, the expression of fear reflects normal neural activity in the medial prefrontal cortex, not stress-induced hyperactivity in the amygdala.
The learning rate for novel spatial environments in model networks of place cells is determined by the product of the window for plasticity and the auto-correlation of place-cell activity.
