Graph Connectivity in Biological and Artificial Neural Systems
Graph Connectivity in Biological and Artificial Neural Systems
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Explore the intricate bridge between biological and artificial systems through the lens of graph connectivity. Discover how the brain's resemblance to graphs aids in understanding neural connections, utilizing key concepts of graph theory such as nodes, edges, clustering, and path length. Delve into biological networks with the iconic example of the C. elegans connectome and model neurons and synapses effectively. Transition into artificial neural networks by examining their structure,...