Robustness to two-object images in human visual cortex

 

 

Figure W4: Decoding object information in cluttered images in single trials

 

 

fig_w4.jpg Decoding object information in cluttered images in single trials. A, C, E, G. Five examples of single-trial responses for the electrode shown in Figure 1 in the main text (see scale bar at the bottom left of part G). The gray vertical bar shows the stimulus presentation interval (100 ms). The single-trial examples were taken from the single-object images including the preferred category (A), single-object images excluding the preferred category (C), two-object images including the preferred category (E) and two-object images excluding the preferred category (G). The number in each subplot indicates the trial order number. For each trial, we considered the interval between 50 ms and 300 ms after stimulus onset (gray horizontal bar above each plot) and extracted three features: the range of the response (dotted lines), the time of minimum voltage (tmin, downward arrow) and the time of maximum voltage (tmax, upward arrow). B, D, F, H. Response vectors for each of the three features and each of the four image types (A, C, E, G). The subplot on the left shows the time of minimum voltage, the middle plot shows the time of maximum voltage and the subplot on the right shows the IFP response magnitude (see color scale bars at the bottom). Each row in these response vectors denotes a single trial. I, J. These 3D plots show the relationships among the 3 feature variables used for the classification task for single-object images (I) and two-object images (J). The blue circles indicate images where the preferred category for this electrode was present and the black circles indicate trials where the preferred category for this electrode was not present. Training the classifier involves finding a plane to optimally separate the blue and black circles (Experimental Procedures).

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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