Title
Context separability mediated by the granular layer in a spiking cerebellum model for robot control
Abstract
In this paper, we study how a biologically-plausible cerebellum architecture can store and retrieve different robotic-arm internal models (in synaptic connections between granular layer and Purkinje cells) at the granule layer (dynamic modifications of a base robot-arm-plant model), and how the model microstructure and input signal representations can efficiently infer models in a robot control scenario during object manipulation. More specifically, we have evaluated the contribution of the granular layer to the ability of the cerebellum to generate corrective actions. To achieve this we have embedded a spiking cerebellar model into an analog control loop whose output commands a simulated robot arm. The performance results obtained by using a cerebellum which includes granular layer are compared to those using a cerebellum without this layer. The results show that this layer effectively contributes to the generation of accurate cerebellar corrections. This work represents a well defined case of study in the field of neurobotics, in which biologically plausible neural systems and robots are used to study the functionality of biological systems.
Year
DOI
Venue
2011
10.1007/978-3-642-21501-8_67
IWANN (1)
Keywords
Field
DocType
base robot-arm-plant model,robot control,granule layer,model microstructure,spiking cerebellar model,different robotic-arm internal model,infer model,accurate cerebellar correction,analog control loop,biologically-plausible cerebellum architecture,context separability,spiking cerebellum model,granular layer,spiking neural network,plasticity,context switching
Granular layer,Robot control,Robotic arm,Computer science,Neural system,Artificial intelligence,Spiking neural network,Robot,Machine learning,Cerebellum,Context switch
Conference
Volume
ISSN
Citations 
6691
0302-9743
0
PageRank 
References 
Authors
0.34
8
4
Name
Order
Citations
PageRank
Niceto R. Luque113410.38
Jesus A. Garrido261.14
Richard R. Carrillo322116.45
Eduardo Ros4110086.00