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Decoding of the primary visual cortex using steady-state visual evoked potentials: contributions of amplitude and frequency.
Steady-state visual evoked potentials (SSVEPs) are widely used to analyze the primary visual cortex. In this study, we investigated how different variables of the SSVEP affect the signal-to-noise ratio (SNR) of the primary visual cortex. Using different conditions of the luminance contrast of the image, the amount of noise, and the interstimulus-interval (ISI), we simulated different levels of signal loss in the primary visual cortex. For different signal-to-noise ratios (SNRs), the SNR in the primary visual cortex is calculated at different frequencies for each variable. At the frequency of the maximum SNR, the two most important variables determining the SNR are the amount of
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