From the post:
What do graphs and brains have in common? First, they both share a relatively similar structure: Vertices/neurons are connected to each other by edges/axons. Second, they both share a similar process: traversers/action potentials propagate to effect some computation that is a function of the topology of the structure. If there exists a mapping between two domains, then its possible to apply the processes of one domain (the brain) to the structure of the other (the graph). The purpose of this post is to explore the application of neural algorithms to graph systems.
As only Marko could answer the question: “What do graphs and brains have in common?”
Highly recommended.
I am particularly interested in the the use of spreading activation for subject recognition. How do we capture such a recognition and/or communicate it to others?