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000907605 005__ 20240313095001.0
000907605 037__ $$aFZJ-2022-02104
000907605 1001_ $$0P:(DE-Juel1)180365$$aKöhler, Cristiano$$b0$$eCorresponding author$$ufzj
000907605 245__ $$aGathering and sharing information on the V4A experiment: tools and ideas
000907605 260__ $$c2022
000907605 3367_ $$2DataCite$$aText
000907605 3367_ $$0PUB:(DE-HGF)4$$2PUB:(DE-HGF)$$aCommunication$$bcomm$$mcomm$$s1654773214_9180
000907605 3367_ $$2BibTeX$$aMISC
000907605 3367_ $$2ORCID$$aOTHER
000907605 3367_ $$2DINI$$aOther
000907605 3367_ $$04$$2EndNote$$aPersonal Communication
000907605 500__ $$aHackathon during the 18th Vision for Action Workshop in Carry-le-Rouet, France.
000907605 520__ $$aAn experiment such as Vision4Action is associated with a large amount of background information (e.g., setup, subjects, experimental procedures), literature, and results that are typically shared among collaborators in cloud folders. An integrative solution/knowledge base is desired: not only it would ease communication among peers but it would also allow new members of the collaboration to get up to speed with the project quickly. In this hackathon, we discussed potential tools to create such a knowledge base. Relevant questions/issues to be addressed include: Who is working on what? Where can one find which plots? Which repositories with which code do exist? Which talks have been given on what? We focused the session on Obsidian (https://obsidian.md), a knowledge base manager that uses Markdown files. We worked on an existing prototype, to gain an understanding of the strengths and limitations of the tool. Finally, we discussed the next steps needed to implement an Obsidian knowledge base in the context of the Vision4Action collaboration.
000907605 536__ $$0G:(DE-HGF)POF4-5235$$a5235 - Digitization of Neuroscience and User-Community Building (POF4-523)$$cPOF4-523$$fPOF IV$$x0
000907605 536__ $$0G:(DE-HGF)POF4-5231$$a5231 - Neuroscientific Foundations (POF4-523)$$cPOF4-523$$fPOF IV$$x1
000907605 536__ $$0G:(DE-Juel1)HDS-LEE-20190612$$aHDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612)$$cHDS-LEE-20190612$$x2
000907605 7001_ $$0P:(DE-Juel1)176777$$aEssink, Simon$$b1$$ufzj
000907605 7001_ $$0P:(DE-Juel1)144807$$aDenker, Michael$$b2$$ufzj
000907605 7001_ $$0P:(DE-Juel1)190945$$aGeorgiou, Marianna$$b3$$ufzj
000907605 7001_ $$0P:(DE-Juel1)190659$$aKern, Moritz$$b4$$ufzj
000907605 7001_ $$0P:(DE-Juel1)190225$$aMore, Heather$$b5$$ufzj
000907605 909CO $$ooai:juser.fz-juelich.de:907605$$pVDB
000907605 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)180365$$aForschungszentrum Jülich$$b0$$kFZJ
000907605 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)176777$$aForschungszentrum Jülich$$b1$$kFZJ
000907605 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144807$$aForschungszentrum Jülich$$b2$$kFZJ
000907605 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)190945$$aForschungszentrum Jülich$$b3$$kFZJ
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000907605 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)190225$$aForschungszentrum Jülich$$b5$$kFZJ
000907605 9131_ $$0G:(DE-HGF)POF4-523$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5235$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vNeuromorphic Computing and Network Dynamics$$x0
000907605 9131_ $$0G:(DE-HGF)POF4-523$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5231$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vNeuromorphic Computing and Network Dynamics$$x1
000907605 9141_ $$y2022
000907605 9201_ $$0I:(DE-Juel1)INM-6-20090406$$kINM-6$$lComputational and Systems Neuroscience$$x0
000907605 9201_ $$0I:(DE-Juel1)INM-10-20170113$$kINM-10$$lJara-Institut Brain structure-function relationships$$x1
000907605 9201_ $$0I:(DE-Juel1)IAS-6-20130828$$kIAS-6$$lTheoretical Neuroscience$$x2
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000907605 980__ $$aI:(DE-Juel1)INM-10-20170113
000907605 980__ $$aI:(DE-Juel1)IAS-6-20130828
000907605 980__ $$aUNRESTRICTED
000907605 981__ $$aI:(DE-Juel1)IAS-6-20130828