title: Motor Learning Mechanism on the Neuron Scale 
creator: Liu, Mr. Peilei
creator: Wang, Prof. Ting
subject: Behavioral Neuroscience
subject: Animal Behavior
subject: Biophysics
subject: Cognitive Archeology
subject: Computational Neuroscience
subject: Artificial Intelligence
subject: Dynamical Systems
subject: Machine Learning
subject: Neural Modelling
description: 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
type: Preprint
type: NonPeerReviewed
format: application/pdf
identifier: http://cogprints.org/9760/1/liutextfigs.pdf
identifier:   Liu, Mr. Peilei and Wang, Prof. Ting  (2014) Motor Learning Mechanism on the Neuron Scale.  [Preprint]     
relation: http://cogprints.org/9760/