<p>The correlation between activity patterns of motion stimuli within the same condition was larger than that between different conditions in Experiment 1 (A) and in Experiment 2 (B).</p
<p>Cumulative explained variance and the number of principal components are shown for each movement ...
The order of the variables was set by clustering them for endogenous locomotion data (A, lower left ...
The order of the variables was set by clustering them for endogenous locomotion data (A, lower left ...
<p>(A) Noise correlations calculated from localizer runs had a similar effect on MVPA as noise corre...
<p>A: Signal-to-noise ratio <i>S</i>, dots correspond to pairs of stimuli. Value from observed covar...
<p>Same methods were employed as with the first PC. The 9 best correlated neural features were selec...
<p>The table presents the Pearson correlation coefficient between the trajectories of the two princi...
<p>Data are presented as estimate (standard error) and significant effects are shown in bold. MVPA i...
<p>Pearson correlations of percent signal change between conditions of the fMRI Color-Word Stroop ta...
In this report we show that the observed inter-neuronal correlation reflects a superposition of corr...
<p>A) Similarity matrix between the whole-brain maps of values obtained with MVPD for each particip...
<p>Results of principal component analyses (PCAs) on behavioural traits in each of two behavioural c...
<p>A) Positive correlation between “Groping the substrate” and “Walking” (p = 0.005). B) Positive co...
<p>An illustration of the correlation analysis procedure for morphology changing (top row) and arrhy...
The order of the variables was set by clustering them for endogenous locomotion data (A, lower left ...
<p>Cumulative explained variance and the number of principal components are shown for each movement ...
The order of the variables was set by clustering them for endogenous locomotion data (A, lower left ...
The order of the variables was set by clustering them for endogenous locomotion data (A, lower left ...
<p>(A) Noise correlations calculated from localizer runs had a similar effect on MVPA as noise corre...
<p>A: Signal-to-noise ratio <i>S</i>, dots correspond to pairs of stimuli. Value from observed covar...
<p>Same methods were employed as with the first PC. The 9 best correlated neural features were selec...
<p>The table presents the Pearson correlation coefficient between the trajectories of the two princi...
<p>Data are presented as estimate (standard error) and significant effects are shown in bold. MVPA i...
<p>Pearson correlations of percent signal change between conditions of the fMRI Color-Word Stroop ta...
In this report we show that the observed inter-neuronal correlation reflects a superposition of corr...
<p>A) Similarity matrix between the whole-brain maps of values obtained with MVPD for each particip...
<p>Results of principal component analyses (PCAs) on behavioural traits in each of two behavioural c...
<p>A) Positive correlation between “Groping the substrate” and “Walking” (p = 0.005). B) Positive co...
<p>An illustration of the correlation analysis procedure for morphology changing (top row) and arrhy...
The order of the variables was set by clustering them for endogenous locomotion data (A, lower left ...
<p>Cumulative explained variance and the number of principal components are shown for each movement ...
The order of the variables was set by clustering them for endogenous locomotion data (A, lower left ...
The order of the variables was set by clustering them for endogenous locomotion data (A, lower left ...
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