Motor Learning Mechanism on the Neuron Scale

8 Pages Posted: 22 Nov 2017

See all articles by Peilei Liu

Peilei Liu

National University of Defense Technology

Ting Wang

National University of Defense Technology

Date Written: 2014

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.

Keywords: Motor learning, neural mechanism, cerebellum, sensory-motor integration

Suggested Citation

Liu, Peilei and Wang, Ting, Motor Learning Mechanism on the Neuron Scale (2014). Available at SSRN: https://ssrn.com/abstract=3075593 or http://dx.doi.org/10.2139/ssrn.3075593

Peilei Liu (Contact Author)

National University of Defense Technology ( email )

Changsha Hunan, hunan 410073
China

Ting Wang

National University of Defense Technology

Changsha Hunan, hunan 410073
China

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