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
Next revision Both sides next revision
brica-related_tasks [2015/10/29 13:36]
n.arakawa 		brica-related_tasks [2020/02/29 16:18]
n.arakawa
Line 6: Line 6:
   - Machine Learning API Interface\\ //To be consulted//.   - Machine Learning API Interface\\ //To be consulted//.
   - Simulation Environment   - 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. +     * Please visit our [[https://wba-initiative.org/en/research/rfr/3d-agent-test-suites/|Request for Research: 3D Agent Test Suites]].
-         * 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      * Generating BriCA Language code from connectome data
-        * 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.+        * 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.
         * Human connectomes\\ //To be consulted//         * Human connectomes\\ //To be consulted//
      * Visualizing BriCA language description\\ Visualizing topology with, for example, [[http://gephi.github.io|Gephi]] via the GEXF format.      * Visualizing BriCA language description\\ Visualizing topology with, for example, [[http://gephi.github.io|Gephi]] via the GEXF format.
   - Creating WBA with BriCA   - Creating WBA with BriCA
-     * Seed WBA\\ Functional WBAs for the referential purpose.\\ //To be consulted//.+     * 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]].      * Casual WBA\\ Any functional architecture combining machine learning modules with BriCA\\ cf. [[Hackathon 2015]].