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Theories in the "learning" category almost all derive from publications by Marr and Albus. Marr's 1969 paper proposed that the cerebellum is a device for learning to associate elemental movements encoded by climbing fibers with mossy fiber inputs that encode the sensory context. [27]
The cerebellar theory of dyslexia asserts that the cause of dyslexia is an abnormality in the cerebellum (a region in the back of the brain), which in turn cause disruption in normal development, which causes issues with motor control, balance, working memory, attention, automatization, and ultimately, reading.
The exact mechanism of motor memory consolidation within the brain is controversial. However, most theories assume that there is a general redistribution of information across the brain from encoding to consolidation. Hebb's rule states that "synaptic connectivity changes as a function of repetitive firing." In this case, that would mean that ...
Plasticity of the synapse between a parallel fiber and a Purkinje cell is believed to be important for motor learning. [11] The function of cerebellar circuits is entirely dependent on processes carried out by the granular layer. Therefore, the function of granule cells determines the cerebellar function as a whole. [12]
It is also known as the cerebellar model articulation controller. It is a type of associative memory. [2] The CMAC was first proposed as a function modeler for robotic controllers by James Albus in 1975 [1] (hence the name), but has been extensively used in reinforcement learning and also as for automated classification in the machine learning ...
Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained.
Tensor network theory is 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 by Andras Pellionisz and Rodolfo Llinas in the 1980s as a ...
The cerebellum's anterior and posterior lobes appear to play a role in the coordination and smoothing of complex motor movements, and the flocculonodular lobe in the maintenance of balance [36] although debate exists as to its cognitive, behavioural and motor functions.