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Thus, desynchronization events lead to a dramatic reduction in the amplitude of IPSCs and a concomitant increase in oscillation frequency.
To investigate why desynchronization events increased frequency drift, we created a simpler setup where inputs were delivered as constant currents to an IF IF network (input current to: excitatory neurons = 2 nA, inhibitory neurons = 0.3 nA; Fig. 6).
The drift in oscillation frequency was the largest in IF IF networks, being increased especially when II was scaled up (Fig. 10 C), a scaling that was accompanied by progressively more frequent desynchronization events.
These desynchronization events appeared stochastically with higher probability when input drive was larger.
Occasionally, in certain trials, IF IF networks had oscillation cycles without desynchronization and in such cases the frequency drifts along the stimulus for those trials were smaller than in trials where desynchronization events were observed.
It states that CI Wolbachia induce a desynchronization in cellular events.
However, CR might cause a desynchronization at the cortical level also in a qualitatively different way.
RI was assumed to be related to a desynchronization of neural activity underlying the tinnitus sensation.
Here, we used event-related desynchronization and event-related synchronization of the EEG alpha band as indices of cortical activation.
Analysis of the time course of event-related desynchronization and event-related synchronization was performed according to the classical method described elsewhere [ 73, 74].
This paper presents a novel attempt to remotely control an animal's behavior by human BCI using a hybrid of Event Related Desynchronization (ERD) and Steady-State Visually Evoked Potential (SSVEP BCII protocols.
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