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Modeling and MEG evidence of early consonance processing in auditory cortex

Fig 5

Model responses to the IRN dyads.

(A–C) Neural representation of the dyads at different stages of the model: (A) periodicity detectors, (B/C) excitatory/inhibitory ensembles in the decoder network; each row shows the activity elicited by each dyad. Excitatory and inhibitory ensembles in the sustainer are precisely correlated with the decoder-inhibitory heatmap. (D–I) Examples of the collective excitatory activity in the decoder network (monotonically related to the equivalent dipole moment elicited by the network) in comparison with the elicited dipole moment measured during the experimentation in the neural generator of the POR. The scale of the field derived for the unison dyad was adjusted to account for the comparatively smaller effect on the network of the unison input, which effectively activates half of the populations than the other dyads. (J) Latency predictions for IRN dyads compared with the experimental results reported in the previous section. (K) Latency predictions for all dyads in the chromatic scale. Consonant dyads are represented with a green triangle, whilst strongly dissonant dyads are represented with a red triangle; dissonance was assessed according to Helmholtz [6] (see table in Fig 61 of the original text). Model predictions were averaged across N = 60 runs, error bars and shaded contours are standard errors. Blue shaded contours correspond to the experimental observations; grey shaded contours correspond to the model simulations.

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1006820.g005