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
- ^ Pellionisz, A., Llinás, R. (1980). "Tensorial Approach To The Geometry Of Brain Function: Cerebellar Coordination Via A Metric Tensor". Neuroscience. 5: 1125—-1136. doi:10.1016/0306-4522(80)90191-8.
{{cite journal}}: Cite has empty unknown parameter:|month=(help)CS1 maint: multiple names: authors list (link) - ^ 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.
{{cite journal}}: Cite has empty unknown parameter:|month=(help)CS1 maint: multiple names: authors list (link)
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