Skip to main content
. 2020 Dec 3;10(12):934. doi: 10.3390/brainsci10120934

Table 1.

The values of the prior-over-measurement signal-to-noise ratio (PM-SNR) for different reconstructions specified by the type of data (Measured/Synthetic), measurement modality (EEG/MEG), estimate (MAP/CM), and the hyperprior (G/IG). The source-wise θ0-value that was used for the dense and sparse source distribution corresponds to the total scale. PM-SNR can be associated with the a priori assumption on the latent noise strength, i.e., dB(s) (Section 2.1.4). When PM-SNR is 0 dB, the weight of the prior matches the a priori known noise level of 3%.

Data Modality Estimate Hyp. PM-SNR (dB) Sparse θ0 Dense θ0
Meas. EEG MAP G 20 10−10 10−12
IG 30 10−9 10−11
CM G 20 10−10 10−12
IG 20 10−10 10−12
MEG MAP G 20 10−10 10−12
IG 30 10−9 10−11
CM G 20 10−10 10−12
IG 20 10−10 10−12
Synth. EEG MAP G 20 10−10 10−12
IG 30 10−9 10−11
CM G 0 10−12 10−14
IG 0 10−12 10−14
MEG MAP G 30 10−9 10−11
IG 30 10−9 10−11
CM G 0 10−12 10−14
IG 0 10−12 10−14