Tensor network theory
From Wikipedia, the free encyclopedia
(Redirected from Tensor Network Theory)
Tensor network theory is a theory of brain function (specifically in the cerebellum) by Llinas and Pellionisz which provides a mathematical model of transformation of sensory (covariant) space-time coordinates into motor (contravariant) coordinates by cerebellar neuronal networks.[1][2]
References [edit]
- ^ Pellionisz, A., Llinás, R. (1980). "Tensorial Approach To The Geometry Of Brain Function: Cerebellar Coordination Via A Metric Tensor". Neuroscience 5 (7): 1125––1136. doi:10.1016/0306-4522(80)90191-8. PMID 6967569.
- ^ Pellionisz, A., Llinás, R. (1985). "Tensor Network Theory Of The Metaorganization Of Functional Geometries In The Central Nervous System". Neuroscience 16 (2): 245–273. doi:10.1016/0306-4522(85)90001-6. PMID 4080158.
| This neuroscience article is a stub. You can help Wikipedia by expanding it. |