The Cerebellum: New Computational Model that Reveals its Primary Function to Calculate Multibody Dynamics Conform to Lagrange-Euler Formulation
This work addresses a fundamental problem in neuroscience for researchers by proposing a new model of cerebellar function, though it appears incremental as it builds on existing knowledge of brain circuits.
The authors tackled the problem of understanding the cerebellum's primary function by developing a computational model that interprets cerebellar circuits in the context of multibody dynamics, revealing its role in calculating dynamics for balance and movement coordination, with specific functional interpretations for various cell types.
Cerebellum is part of the brain that occupies only 10% of the brain volume, but it contains about 80% of total number of brain neurons. New cerebellar function model is developed that sets cerebellar circuits in context of multibody dynamics model computations, as important step in controlling balance and movement coordination, functions performed by two oldest parts of the cerebellum. Model gives new functional interpretation for granule cells-Golgi cell circuit, including distinct function for upper and lower Golgi cell dendritc trees, and resolves issue of sharing Granule cells between Purkinje cells. Sets new function for basket cells, and for stellate cells according to position in molecular layer. New model enables easily and direct integration of sensory information from vestibular system and cutaneous mechanoreceptors, for balance, movement and interaction with environments. Model gives explanation of Purkinje cells convergence on deep-cerebellar nuclei.