creators_name: Liu, Peilei creators_name: Wang, Ting creators_id: lpl1520@163.com creators_id: tingwang1970@163.com type: preprint datestamp: 2014-08-24 21:07:54 lastmod: 2015-04-20 11:40:42 metadata_visibility: show title: Motor Learning Mechanism on the Neuron Scale subjects: behav-neuro-sci subjects: bio-ani-behav subjects: bio-phys subjects: cogarch subjects: comp-neuro-sci subjects: comp-sci-art-intel subjects: comp-sci-mach-dynam-sys subjects: comp-sci-mach-learn subjects: neuro-mod full_text_status: public keywords: Motor learning, neural mechanism, cerebellum, sensory-motor integration abstract: Based on existing data, we wish to put forward a biological model of motor system on the neuron scale. Then we indicate its implications in statistics and learning. Specifically, neuron’s firing frequency and synaptic strength are probability estimates in essence. And the lateral inhibition also has statistical implications. From the standpoint of learning, dendritic competition through retrograde messengers is the foundation of conditional reflex and “grandmother cell” coding. And they are the kernel mechanisms of motor learning and sensory-motor integration respectively. Finally, we compare motor system with sensory system. In short, we would like to bridge the gap between molecule evidences and computational models. date: 2014-07-01 date_type: completed refereed: FALSE referencetext: 1. D.M. Wolpert, Z. Ghahramani, M.I. Jordan, An internal model for sensorimotor integration. Science 269, 1880-1882 (1995). 2. M. Kawato, Internal models for motor control and trajectory planning. Curr. Opin. Neurobiol. 9, 718-727 (1999). 3. E. Todorov, M.I. Jordan, Optimal feedback control as a theory of motor coordination. Nature Neurosci. 5, 1226-1235 (2002). 4. D. MARR, A theory of cerebellar cortex. J. Physiol. 202, 437-470 (1969). 5. J. S. Albus, A theory of cerebellar function, Math. Biosci. 10, 25-61 (1971). 6. L. 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