small-world network properties. A small-world network of neurons can exhibit short-term memory. A computer model developed by Sara Solla had two stable states, a property (called bistability) thought to be important in memory storage. An activating pulse generated self-sustaining loops of communication activity among the neurons. A second pulse ended this activity. The pulses switched the system between stable states: flow (recording a "memory"), and stasis (holding it). Small world neuronal networks have also been used as models to understand seizures. See also - mathematical theory of networks – systems on chip modeled on small-world networks Zachary's karate club References Further reading Books Journal articles pdf External links Dynamic Proximity Networks by Seth J. Chandler, The Wolfram Demonstrations Project. Small-World Networks entry on Scholarpedia (by Mason A. Porter) Networks Graph families fr:Petit monde