Skip to content
/ Cerebellar-model-articulation-controller-weighted-regression Public

Cerebellar Motion articulator controller is a type of neural network based on a model of mamallian cerebellum. It is a type of associative memory and was proposed by James Albus in 1975. In this code, CMAC is used to demonstrate weighted regression.

License

GPL-3.0 license
2 stars 1 fork Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

sarveshj/Cerebellar-model-articulation-controller-weighted-regression

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
LICENSE
LICENSE
 
 
README.md
README.md
 
 
cmac_continous.py
cmac_continous.py
 
 

Repository files navigation

Cerebellar-model-articulation-controller (CMAC) for weighted regression

Cerebellar Motion articulator controller is a type of neural network based on a model of mamallian cerebellum. It is a type of associative memory and was proposed by James Albus in 1975. In this repo, we use CMAC to perform weighted regression

Contributor

Sarvesh Jayaraman

About

Cerebellar Motion articulator controller is a type of neural network based on a model of mamallian cerebellum. It is a type of associative memory and was proposed by James Albus in 1975. In this code, CMAC is used to demonstrate weighted regression.

Topics

neural-network feedforward-neural-network weighted-regression

Resources

Readme

License

GPL-3.0 license
Activity

Stars

2 stars

Watchers

2 watching

Forks

1 fork
Report repository

Releases

No releases published

Packages

No packages published

Languages