\n ## Heatmaps: Mean and Standard Deviation of Conductance ### Overview The image presents two heatmaps side-by-side. The left heatmap displays the mean values, while the right heatmap displays the standard deviation (STD). Both heatmaps represent a two-dimensional relationship between "source conductance" and "target conductance", both measured in μG (micro-Siemens). The color intensity in each heatmap corresponds to the magnitude of the mean or standard deviation value. ### Components/Axes Both heatmaps share the same structure: * **X-axis:** "target conductance (μG)" ranging from -10 to 10, with increments of 1. * **Y-axis:** "source conductance (μG)" ranging from -10 to 10, with increments of 1. * **Color Scale (Left Heatmap):** Represents the "Mean, (Error=2.90)". The scale ranges from approximately -5.5 to 7.5. Colors transition from dark purple (low values) through red (intermediate values) to yellow (high values). * **Color Scale (Right Heatmap):** Represents "STD". The scale ranges from approximately 0 to 35. Colors transition from light yellow (low values) through red (intermediate values) to dark purple (high values). * **Data Points:** Each cell in the grid represents a specific combination of source and target conductance, with the cell's color indicating the corresponding mean or standard deviation value. ### Detailed Analysis or Content Details **Left Heatmap (Mean):** The heatmap shows a generally diagonal pattern. Values are more negative when both source and target conductance are negative, and more positive when both are positive. * **Top-Left Corner (-10,-10):** Approximately -5.45 * **Center (0,0):** Approximately 0.05 * **Bottom-Right Corner (10,10):** Approximately 7.45 * **Along the diagonal (e.g., -5,-5):** Approximately -2.5 * **Along the diagonal (e.g., 5,5):** Approximately 2.5 * **Row 1 (Source Conductance = -10):** Values range from -5.45 to -1.35, increasing from left to right. * **Row 10 (Source Conductance = 10):** Values range from 1.35 to 7.45, increasing from left to right. * **Column 1 (Target Conductance = -10):** Values range from -5.45 to 1.35, increasing from top to bottom. * **Column 10 (Target Conductance = 10):** Values range from -1.35 to 7.45, increasing from top to bottom. **Right Heatmap (Standard Deviation):** The heatmap shows a strong diagonal pattern, with higher standard deviations along the diagonal and lower standard deviations near the corners. * **Top-Left Corner (-10,-10):** Approximately 32.5 * **Center (0,0):** Approximately 10.1 * **Bottom-Right Corner (10,10):** Approximately 35 * **Along the diagonal (e.g., -5,-5):** Approximately 22.5 * **Along the diagonal (e.g., 5,5):** Approximately 25 * **Row 1 (Source Conductance = -10):** Values range from 32.5 to 12.5, decreasing from left to right. * **Row 10 (Source Conductance = 10):** Values range from 12.5 to 35, decreasing from left to right. * **Column 1 (Target Conductance = -10):** Values range from 32.5 to 12.5, decreasing from top to bottom. * **Column 10 (Target Conductance = 10):** Values range from 12.5 to 35, decreasing from top to bottom. ### Key Observations * The mean values are generally symmetric around the origin (0,0). * The standard deviation is highest when source and target conductances are similar in magnitude (along the diagonal). * The standard deviation is lowest when either source or target conductance is close to zero. * The error associated with the mean is 2.90, suggesting a consistent level of uncertainty across the data. ### Interpretation The data suggests a linear relationship between source and target conductance, as evidenced by the diagonal pattern in the mean heatmap. The positive slope indicates that as both source and target conductance increase, the mean value also increases. The high standard deviation along the diagonal suggests that there is significant variability in the data when source and target conductances are similar. This could be due to noise in the measurements or inherent variability in the system being studied. The lower standard deviation near the corners indicates that the data is more consistent when either source or target conductance is close to zero. The error value of 2.90 provides a measure of the uncertainty in the mean values. This information is important for assessing the reliability of the results and for making informed decisions based on the data. The combination of mean and standard deviation heatmaps provides a comprehensive picture of the relationship between source and target conductance, allowing for a more nuanced understanding of the underlying system. The data suggests that the relationship is strongest and most predictable when one of the conductances is near zero, and becomes more variable as both conductances increase.