Causal Inference in Connectivity 1 - Image Index | 20 Ways AI is Advancing Neuroscience Brain Mapping Causal Inference in Connectivity: A complex network of interconnected nodes and lines, evoking the concept of Causal Inference in Connectivity. The visual representation suggests a dynamic system where each node represents an entity or variable, connected by lines that signify relationships between them. The use of bright colors and varied line thicknesses adds depth to the visualization, allowing for easy distinction among different types of connections. Notably, some nodes are grouped together, indicating clusters or communities within the network. This arrangement implies a hierarchical structure, with certain entities influencing others in a cascading effect. Overall, the image effectively conveys the idea that causal relationships between variables can be inferred by analyzing their connectivity patterns.
