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14	14	(((
15	15	(% class="col-xs-12 col-sm-8" %)
16	16	(((
17		-== What can I find here? ==
	17	+= What can I find here? =
18	18
19	19	* Description of TVB GUI Widgets
20	20	* Installation and usage guidance
21	21	* Basic examples
22	22
23		-=== Authors ===
	23	+= Authors =
24	24
25	25	* (% style="color:#595959; font-family:Arial; font-size:14pt; font-style:normal; font-variant:normal; font-weight:400; text-decoration:none; white-space:pre-wrap" %)**SDL Neuroscience Juelich**: Sandra Diaz
26	26	* (% style="color:#595959; font-family:Arial; font-size:14pt; font-style:normal; font-variant:normal; font-weight:400; text-decoration:none; white-space:pre-wrap" %)**INS Marseille**: Jan Fousek
27	27	* (% style="color:#595959; font-family:Arial; font-size:14pt; font-style:normal; font-variant:normal; font-weight:400; text-decoration:none; white-space:pre-wrap" %)**Codemart**: Paula Prodan, David Bacter, Romina Baila, Jochen Mersmann, Lia Domide
28	28
29		-=== Concepts ===
	29	+= Concepts =
30	30
31	31	* (% style="color:#595959; font-family:Arial; font-size:14pt; font-style:normal; font-variant:normal; font-weight:400; text-decoration:none; white-space:pre-wrap" %)GUI, Widgets
32		-* (% style="color:#595959; font-family:Arial; font-size:18.6667px; white-space:pre-wrap" %)JupyterLab Extensions
	32	+* (% style="color: rgb(89, 89, 89); font-family: Arial; font-size: 18.6667px; white-space: pre-wrap" %)JupyterLab Extensions
33	33	* (% style="color:#595959; font-family:Arial; font-size:14pt; font-style:normal; font-variant:normal; font-weight:400; text-decoration:none; white-space:pre-wrap" %)data-oriented arch, API, DataTypes
34	34	* (% style="color:#595959; font-family:Arial; font-size:14pt; font-style:normal; font-variant:normal; font-weight:400; text-decoration:none; white-space:pre-wrap" %)HPC backends and monitoring
35	35	* (% style="color:#595959; font-family:Arial; font-size:14pt; font-style:normal; font-variant:normal; font-weight:400; text-decoration:none; white-space:pre-wrap" %)KG integration
36	36	* (% style="color:#595959; font-family:Arial; font-size:14pt; font-style:normal; font-variant:normal; font-weight:400; text-decoration:none; white-space:pre-wrap" %)GUI workflow editing
37	37
38		-(% class="western" lang="en-AU" style="border: none; padding: 0in;" %)
39		-== (% style="line-height:150%" %)**MOTIVATION**(%%) ==
40		-
41		-(% class="western" lang="en-AU" style="border:none; padding:0in" %)
42		-(% style="line-height:150%" %)The showcases developed in the last phase of the HBP are meant to illustrate the full potential of technical and scientific features offered by EBRAINS. In order to support the usability of the showcases, as well as future EBRAINS workflows, we have developed a set of modular graphic components and software solutions [1] which can be easily deployed or replicated in the EBRAINS Collaboratory within the JupyterLab.
43		-
44		-(% class="western" lang="en-AU" style="border:none; padding:0in" %)
45		-(% style="line-height:150%" %)These graphical user interfaces (GUI) components are all based on and under open source licences, supporting open neuroscience and they enable features like:
46		-
47		-(% class="western" lang="en-AU" style="border:none; padding:0in" %)
48		-(% style="line-height:150%" %)• Easy setup of models and region specific or cohort simulations
49		-
50		-(% class="western" lang="en-AU" style="border:none; padding:0in" %)
51		-(% style="line-height:150%" %)• Selection of Data sources and their links to models.
52		-
53		-(% class="western" lang="en-AU" style="border:none; padding:0in" %)
54		-(% style="line-height:150%" %)• Querying data from Siibra and the Knowledge Graph.
55		-
56		-(% class="western" lang="en-AU" style="border:none; padding:0in" %)
57		-(% style="line-height:150%" %)• Deployment and monitoring jobs on HPC resources.
58		-
59		-(% class="western" lang="en-AU" style="border:none; padding:0in" %)
60		-(% style="line-height:150%" %)• Integration of a subset of the virtual brain [2] analysis and visualisation tools [3].
61		-
62		-(% class="western" id="HMETHODS" lang="en-AU" style="border: none; padding: 0in;" %)
63		-== METHODS ==
64		-
65		-(% class="western" lang="en-AU" style="border:none; padding:0in" %)
66		-(% style="line-height:150%" %)The graphical components developed, called //tvb-widgets//, are designed to be integrated into cells of notebooks or are part of JupyterLab extensions for direct usage in the EBRAINS Collaboratory as independent panels  with an appealing look and feel (3D display and interaction, reactive UI, drag&drop events, etc).
67		-
68		-(% class="western" lang="en-AU" style="border:none; padding:0in" %)
69		-(% style="line-height:150%" %)The solution is **modular**, easy to extend and applicable to multiple //showcases// within EBRAINS.
70		-
71		-(% class="western" lang="en-GB" style="border:none; padding:0in" %)
72		-(% lang="en-AU" style="line-height:150%" %)For the development of these modules, we choose a **Data** **Centred Architecture**, where data is annotated, and accessed independently by the satellite components which can read or modify it. We introduce a hierarchical representation with flexible types for data and its metadata; the components access shared data structures and are relatively independent —they interact only through data exchange; we get automatic orchestration as a possibility.
73		-
74		-(% class="western" lang="en-GB" style="border:none; padding:0in" %)
75		-[[image:image-20230314124213-1.png]]
76		-
77	77
78	78	)))
79	79