<p>(A) Noise correlations calculated from localizer runs had a similar effect on MVPA as noise correlations computed from rest runs. Classification accuracy was again better for patterns of activity over voxels with high (green) vs. low (blue) noise correlations, with a similar interaction by bin size. Columns represent means and error bars represent SEM across participants. The dashed gray line denotes permuted chance. (B) The noise correlations calculated from rest runs were similar to the noise correlations calculated from localizer runs. Each dot represents one voxel, with its two coordinates reflecting the heterogeneous noise correlation (i.e., average correlation with voxels with opposite selectivity) from rest and localizer runs, res...
<p>The different rows represent higher noise levels ( and ). The first column (a, d & g) shows the a...
<p>Noise correlation (see text) is estimated from recorded data for every pair of neurons, and plott...
Neurons in the visual primary cortex (area V1) do not only code simple features but also whether ima...
<p>Classification accuracy was consistently better for patterns of activity over an increasing numbe...
International audienceMultivariate decoding methods, such as multivoxel pattern analysis (MVPA), are...
<p>Average selectivity increased monotonically as the magnitude of noise correlations increased. The...
Previous studies in neurophysiology have shown that neurons exhibit trial-by-trial correlated activi...
Multivoxel pattern analysis (MVPA) typically begins with the estimation of single trial activation l...
The ability to discriminate between similar sensory stimuli relies on the amount of information enco...
<p>A median-split analysis revealed that voxels with higher noise correlations were assigned higher ...
<p>Correlations for noise in sample versus match and sample versus nonmatch deviations are similar t...
<p>A: Signal-to-noise ratio <i>S</i>, dots correspond to pairs of stimuli. Value from observed covar...
Many investigators are currently developing models to predict human performance in detecting a signa...
<p>The correlation between activity patterns of motion stimuli within the same condition was larger ...
Neurons in the visual primary cortex (area V1) do not only code simple features but also whether ima...
<p>The different rows represent higher noise levels ( and ). The first column (a, d & g) shows the a...
<p>Noise correlation (see text) is estimated from recorded data for every pair of neurons, and plott...
Neurons in the visual primary cortex (area V1) do not only code simple features but also whether ima...
<p>Classification accuracy was consistently better for patterns of activity over an increasing numbe...
International audienceMultivariate decoding methods, such as multivoxel pattern analysis (MVPA), are...
<p>Average selectivity increased monotonically as the magnitude of noise correlations increased. The...
Previous studies in neurophysiology have shown that neurons exhibit trial-by-trial correlated activi...
Multivoxel pattern analysis (MVPA) typically begins with the estimation of single trial activation l...
The ability to discriminate between similar sensory stimuli relies on the amount of information enco...
<p>A median-split analysis revealed that voxels with higher noise correlations were assigned higher ...
<p>Correlations for noise in sample versus match and sample versus nonmatch deviations are similar t...
<p>A: Signal-to-noise ratio <i>S</i>, dots correspond to pairs of stimuli. Value from observed covar...
Many investigators are currently developing models to predict human performance in detecting a signa...
<p>The correlation between activity patterns of motion stimuli within the same condition was larger ...
Neurons in the visual primary cortex (area V1) do not only code simple features but also whether ima...
<p>The different rows represent higher noise levels ( and ). The first column (a, d & g) shows the a...
<p>Noise correlation (see text) is estimated from recorded data for every pair of neurons, and plott...
Neurons in the visual primary cortex (area V1) do not only code simple features but also whether ima...