Trion (neural networks) explained

Trion is a basic unit of the neural network model of cortical organization called trion model.^[1] This unit represents a highly structured and interconnected aggregate of about a hundred of neurons with the overall diameter of about 0.7 mm. Each trion has three levels of firing activity, and thus a cluster of trions can produce a complex firing pattern which changes rapidly (millisecond scale) according to probabilistic (Monte Carlo) rules. ^{[2] [3]}

See also

• cf. Trion (physics)
• cf. Triune brain

Notes and References

1. 10.1073/pnas.82.8.2364. 3857587. Model of cortical organization embodying a basis for a theory of information processing and memory recall. 1985. Shaw. GL. Silverman. DJ. Pearson. JC. 82. 8. 2364–8. 397558. Proceedings of the National Academy of Sciences of the United States of America. free.
2. 10.1103/PhysRevA.43.5678. 9904881. Higher-temperature phases of a structured neural model of cortex. 1991. McGrann. John. Shaw. Gordon. Silverman. Dennis. Pearson. John. Physical Review A. 43. 10. 5678–5682.
3. Book: Memory in the Cerebral Cortex: An Empirical Approach to Neural Networks in the Human and Nonhuman Primate. 92–93. Joaquín M. Fuster. MIT Press. 1999. 0-262-56124-7.