Fig. 4: Alignment of cortical and visual space via canonical correlation analysis. | Nature Communications

Fig. 4: Alignment of cortical and visual space via canonical correlation analysis.

From: ON/OFF domains shape receptive field structure in mouse visual cortex

Fig. 4: Alignment of cortical and visual space via canonical correlation analysis.The alternative text for this image may have been generated using AI.

a, b Distribution of ON (red) and OFF (blue) neurons in the native cortical and visual spaces (\({n}_{{{{{{\mathrm{on}}}}}}}=317\), \({n}_{{{{{{\mathrm{off}}}}}}}=1178\)). Native cortical space has an x3 component that comes out of the page, so here the data are projected into the \(({x}_{1},{x}_{2})\) plane ignoring depth. c, d Same data as in a, b now represented in canonical cortical and visual spaces. Note how the locations a, b, c, d, corresponding to the corners of the imaging plane, are mapped to canonical visual space. A location dominated by OFF cells in cortical or visual space (a, b asterisks) will map to a location dominated by OFF cells in canonical cortical or canonical visual space (c, d asterisks). e Correlation between the first pair of canonical variables \({\hat{x}}_{1}\) and \({\hat{y}}_{1}\) and f the second pair \({\hat{x}}_{2}\) and \({\hat{y}}_{2}\). Source data provided for all panels.

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