brica-related_tasks

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
brica-related_tasks [2015/10/29 13:36]
n.arakawa
brica-related_tasks [2022/04/27 17:18]
n.arakawa removed
Line 3: Line 3:
  
   - 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 (one already available) 
-         * Making a sample agent with BriCA in a maze 
   - [[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 is 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.\\ //To be consulted//. +
-     Casual WBA\\ Any functional architecture combining machine learning modules with BriCA\\ cf[[Hackathon 2015]]. +