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Relating dynamic brain states to dynamic machine states: Human and machine solutions to the speech recognition problem

Fig 6

ssRSA for EMEG data.

(a) Each stimulus’s evoked EMEG response is captured within a fixed time window and regular searchlight patch, which moves continuously in space inside the searchlight mask. (b) The dissimilarity between a pair of conditions is taken to be the correlation distance (1 − Pearson’s correlation) between the vectors of activation within the spatiotemporal searchlight. (c) The modelled dissimilarities between pairs of conditions are collated into a model RDM (see Fig 2). (d) Model RDMs are compared to the data RDM, with the resulting statistic mapped back into the central vertex of the searchlight. This is repeated for each spatiotemporal position of the searchlight.

Fig 6

doi: https://doi.org/10.1371/journal.pcbi.1005617.g006