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Title Bi-hemispheric neuronal network model of the cerebellum
Free Keywords cerebellum, LabVIEW, bi-hemispheric structure, realistic climbing fiber, adaptive control
Description This model contains the implementation in LabVIEW of the bi-hemispheric neuronal network model of the cerebellum (biCNN) presented in:

Pinzon Morales RD and Hirata Y (2014). A bi-hemispheric neuronal network model of the cerebellum with spontaneous climbing fiber firing produces asymmetrical motor learning during robot control. Front. Neural Circuits 8:131. doi: 10.3389/fncir.2014.00131

The file includes a demonstration for creating, connecting, and using the biCNN model during adaptive control of a direct current FAN. This file is also available via GIT Repository at: https://bitbucket.org/rdpinzonm/the-bicnn-model
Last Modified Date Dec 18, 2016 17:16:33
Created Date Jan 8, 2015 14:55:57
Contributor Yutaka Hirata (hirata)
Item Type Model
Change Log(History)
Dec 18, 2016 Modified; Index.
Model type Other
Creator
Ruben-Dario Pinzon-Morales
Yutaka Hirata
Preview
Model file rdpinzonm-the-bicnn-model-d44753af7728.zip
Type : application/zip Download
Size : 4.5 MB
Last updated : Jan 8, 2015
Downloads : 9

Total downloads since Jan 8, 2015 : 9
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Rights Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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icon_papar A bi-hemispheric neuronal network model of the cerebellum with spontaneous climbing fiber firing produces asymmetrical motor learning during robot control 
Ruben-Dario Pinzon-Morales , Yutaka Hirata
Frontiers Neural Circuits 2014 ;8 (131) [PMID: PMC4221029]