Fig 6. Spatial information encoding in astrocytes is complementary and synergistic to spatial information encoding in neurons.

(A) Information about position carried by pairs of ROIs (I) compared to the sum (I_LIN) or the maximum (I_MAX) of the information separately encoded by each member of the pair. A-A, pair composed of 2 astrocytic ROIs; N-N, pair composed of 2 neuronal ROIs; A-N, mixed pair composed of one astrocytic and one neuronal ROI (I versus I_LIN: A-A: p = 1E-3, N-N: p = 5E-3, A-N: p = 1E-3; I versus I_MAX: A-A: p = 1E-3, N-N: p = 1E-3, A-N: p = 1E-3, Wilcoxon signed rank test, see also S19 Fig and S3 Table). (B) Fraction of pairs encoding spatial information encoding by correlations (A-A: p = 3E-2, N-N: p = 1E-3, A-N: p = 1E-3, Wilcoxon signed rank-test with respect to the null hypothesis that a pair could be either synergistic or nonsynergistic with equal probability set at 0.5). (C) Representative confusion matrices of an SVM classifier decoding mouse position using population vectors comprising neuronal (left) or astrocytic and neuronal ROIs (right), for different decoding granularities (G = 12, 20, see also S21 Fig). (D) Decoded information for population vectors of different compositions (A, astrocytic ROIs only; N, neuronal ROIs only; A-N, population vector considering all ROIs) as a function of decoding granularity (see S4 Table). (E) Same as in (D) but adding comparison with trial-shuffled data (lighter bars) (see S5 Table). In panels A, B, D, and E, data are represented as mean ± SEM. In all panels, data are obtained from 11 imaging sessions in 7 animals. The data presented in this figure can be found in S1 Data. ROI, region of interest; SEM, standard error of the mean; SVM, support vector machine.