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brica-related_tasks [2015/11/02 21:58]
brica-related_tasks [2020/02/29 16:28]
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   - BriCA Core\\ The development of the [[BriCA]] Core.\\ ​ //To be consulted//​.   - BriCA Core\\ The development of the [[BriCA]] Core.\\ ​ //To be consulted//​.
-  - [[BriCA Language]]\\ The specification available. 
-  - Machine Learning API Interface\\ //To be consulted//​. 
-  - Simulation Environment 
-     * PyGazebo based environment\\ Creating [[http://​www.ratbehavior.org/​RatsAndMazes.htm|maze environments]] for rodent-level WBAs with [[http://​pygazebo.readthedocs.org/​en/​latest/​|PyGazebo]] for BriCA. 
-         * Making a maze (//radial arm maze// already available)\\ {{:​gazebo2015-11-02_21.54.08.png?​150|}} 
-         * Making a sample agent with BriCA in a maze\\ (a prototype available) 
   - [[Whole Brain Reference Architecture]] (WBRA)   - [[Whole Brain Reference Architecture]] (WBRA)
-     ​* ​Generating BriCA Language code from connectome ​data +     ​* ​We are creating ​data to describe WBA based on the Brain Information Flow Diagram format (see [[http://bit.ly/2T8KJ2D|the poster]]).\\  [[http://wbai2.xsrv.jp/​mediawiki/​index.php?​title=Special:​Categories|The data]] is accumulated ​on [[https://www.semantic-mediawiki.org/wiki/Semantic_MediaWiki|Semantic MediaWiki]]. 
-        * Rodent connectomes\\ ref. [[http://www.neuro-s.co.jp/images/​product/​5-151/​5-1515.pdf|"A mesoscale connectome of the mouse brain",​ nature (2014)]]\\ Data available in the CSV format. +     ​* ​Data will be converted into BriCA stubs.
-        * Human connectomes\\ //To be consulted//​ +
-     * Visualizing BriCA language description\\ Visualizing topology with, for example, ​[[http://gephi.github.io|Gephi]] via the GEXF format. +
-  - Creating WBA with BriCA +
-     * Seed WBA\\ Functional WBAs for the referential purpose.\\ A possible idea is to make something functional based on [[https://grey.colorado.edu/CompCogNeuro/index.php?​title=CCNBook/​Main|the CCN book]]. +
-     ​* ​Casual WBA\\ Any functional architecture combining machine learning modules with BriCA\\ cf[[Hackathon 2015]]. +