Trion (neural networks)
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[edit]
- cf. Trion (physics)
- cf. Triune brain
References[edit]
- ^ Shaw, GL; Silverman, DJ; Pearson, JC (1985). "Model of cortical organization embodying a basis for a theory of information processing and memory recall". Proceedings of the National Academy of Sciences of the United States of America. 82 (8): 2364–8. doi:10.1073/pnas.82.8.2364. PMC 397558. PMID 3857587.
- ^ McGrann, John; Shaw, Gordon; Silverman, Dennis; Pearson, John (1991). "Higher-temperature phases of a structured neural model of cortex". Physical Review A. 43 (10): 5678–5682. doi:10.1103/PhysRevA.43.5678. PMID 9904881.
- ^ Joaquín M. Fuster (1999). Memory in the Cerebral Cortex: An Empirical Approach to Neural Networks in the Human and Nonhuman Primate. MIT Press. pp. 92–93. ISBN 0-262-56124-7.
 | This neuroscience article is a stub. You can help Wikipedia by expanding it. |