Stimulus-choice (mis)alignment in primate area MT
Fig 3
Probabilistic description of a single trial using variational latent Gaussian process method and resulting noise correlation.
(A; top) Simultaneously recorded spike trains of the MT units in an example trial aligned to stimulus onset (yt in Eq 2). (A; bottom) Corresponding 4-dimensional factors. The rank-4 matrix multiplication of the loading matrix (matrix A in Eq (2)), and latent factors are exponentiated to produce the population rate. The loading matrix is rotated to maximize stimulus encoding (see Fig 4), so that the first column has the strongest stimulus response. The inferred latent factors (xt in Eq (2)) are colored to indicate the respective factors corresponding to the loading matrix. (B) The pairwise noise correlation matrices (neuron by neuron) for the sessions with frozen trials (trials with identical stimulus). The lower triangles are the correlations calculated from the raw data, and the upper triangles are the correlations from the reconstruction by the inferred 4-dimensional latent factors. Time bin size 100 ms.