neural oscillation

Neural oscillation can also arise from interactions between different brain areas.

Neural oscillations have been suggested as the mechanism of binding.

The outcome was measured by global output of neural oscillations.

Quantitative models can estimate the strength of neural oscillations in recorded data.

In very abstract form, neural oscillations can be analyzed analytically.

A well-known example of macroscopic neural oscillations is alpha activity.

Consequently, neural oscillations have been linked to cognitive states, such as awareness and consciousness.

Neural oscillations are extensively linked to memory function, in particular theta activity.

Inhibitory interneurons are thought to play an important role in the generation of neural oscillations.

Neural oscillations are also thought be involved in the sense of time and in somatosensory perception.

Neural oscillation, a concept measured as brain waves.

Numerous experimental studies indeed support a functional role of neural oscillations; a unified interpretation, however, is still lacking.

Neural oscillation is rhythmic or repetitive neural activity in the central nervous system.

Specific types of neural oscillations may also appear in pathological situations, such as Parkinson's disease or epilepsy.

Neural oscillations have been considered for use as a control signal for various brain-computer interfaces.

Neural oscillations have been most widely studied in neural activity generated by large groups of neurons.

The functions of neural oscillations are wide ranging and vary for different types of oscillatory activity.

Neural oscillations were observed by researchers as early as Hans Berger, but their functional role is still not fully understood.

The possible roles of neural oscillations include feature binding, information transfer mechanisms and the generation of rhythmic motor output.

Neural oscillations and synchronization have been linked to many cognitive functions such as information transfer, perception, motor control and memory.

Models based on these principles have been used to provide mathematical descriptions of neural oscillations and EEG rhythms.

The underlying neural mechanisms are fast neural oscillations, and synaptic inhibition to cancel out noise.

They also can be induced by alternating currents that entrain neural oscillation as with trancranial alternating-current stimulation.

Because the model neurons are simple, only elementary limit cycle behavior, i.e. neural oscillations, and stimulus-dependent evoked responses are predicted.

These neural oscillations are impaired in schizophrenics, and these alterations may be responsible for both positive and negative symptoms of schizophrenia.