Tensor network theory is a mathematical approach that models transformations among multidimensional structures using tensors. In AI and neuroscience contexts, it has been used to describe how networks might transform sensory, spatial, temporal, or motor representations.
A theory of brain function (particularly that of the cerebellum) that provides a mathematical model of the transformation of sensory space-time coordinates into motor coordinates and vice versa by cerebellar neuronal networks. The theory was developed as a geometrization of brain function (especially of the central nervous system) using tensors.