3min snip

The Jordan B. Peterson Podcast cover image

321. A Conversation So Intense It Might Transcend Time and Space | John Vervaeke

The Jordan B. Peterson Podcast

NOTE

Integrating the Relevance Realization and Predictive Processing Frameworks

The brain utilizes a small world network model, combining elements of regular and random networks to balance efficiency and robustness. Regular networks, characterized by local connections, exhibit high mean path distances, leading to inefficiency. In contrast, random networks allow for long-distance connections that decrease mean path distance and increase efficiency but risk isolation of nodes if connections are lost, compromising robustness. The small world network effectively addresses these trade-offs, maintaining redundancy and graceful degradation of functionality while allowing for select efficient connections that enhance overall network performance.

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