stdClass Object
(
[vid] => 323
[uid] => 1237
[title] => CNS*2021 Workshop 10: Training Resources for Cross Initiative Data-driven Modeling Workflows
[log] =>
[status] => 1
[comment] => 1
[promote] => 1
[sticky] => 0
[nid] => 321
[type] => events
[language] => und
[created] => 1624563476
[changed] => 1624636903
[tnid] => 0
[translate] => 0
[revision_timestamp] => 1624636903
[revision_uid] => 1237
[body] => Array
(
[und] => Array
(
[0] => Array
(
[value] => While many brain Initiatives and other resources have publicly available training materials that are associated with the data and software platforms they produce, the global neuroscience community lacks training resources and documentation about data and modeling workflows that span initiatives. We aim to fill in these gaps for one community – researchers building data-driven models of neurons and neuron circuit models.
The goal of this workshop is to bring this community together to identify existing training materials and gaps that can be filled so that a coherent “course” on this topic can be assembled and shared at the INCF Training Space. Over time, additional workflows and resources can be added so that researchers can identify relevant data repositories and modeling resources efficiently and find the information that they need to use them.
More information on the workshop, including the schedule and participants, can be found here: https://asuiconlab.github.io/CNS2021Workshop/
Attendees should register for CNS*2021 at: https://www.cnsorg.org/cns-2021-registration-fees
If you would like to contribute, please contact: Sharon Crook, Chair, Training task force, IBI Data Standards & Sharing Working Group
[summary] =>
[format] => nd_ckeditor
[safe_value] => While many brain Initiatives and other resources have publicly available training materials that are associated with the data and software platforms they produce, the global neuroscience community lacks training resources and documentation about data and modeling workflows that span initiatives. We aim to fill in these gaps for one community – researchers building data-driven models of neurons and neuron circuit models.
The goal of this workshop is to bring this community together to identify existing training materials and gaps that can be filled so that a coherent “course” on this topic can be assembled and shared at the INCF Training Space. Over time, additional workflows and resources can be added so that researchers can identify relevant data repositories and modeling resources efficiently and find the information that they need to use them.
More information on the workshop, including the schedule and participants, can be found here: https://asuiconlab.github.io/CNS2021Workshop/
Attendees should register for CNS*2021 at: https://www.cnsorg.org/cns-2021-registration-fees
If you would like to contribute, please contact: Sharon Crook, Chair, Training task force, IBI Data Standards & Sharing Working Group
[safe_summary] =>
)
)
)
[field_thumbnail] => Array
(
[und] => Array
(
[0] => Array
(
[fid] => 343
[uid] => 1237
[filename] => CNS2021 Workshop 10.png
[uri] => public://CNS2021 Workshop 10.png
[filemime] => image/png
[filesize] => 80636
[status] => 1
[timestamp] => 1624636903
[type] => image
[field_file_image_alt_text] => Array
(
)
[field_file_image_title_text] => Array
(
)
[metadata] => Array
(
[height] => 425
[width] => 850
)
[height] => 425
[width] => 850
[alt] =>
[title] =>
)
)
)
[field_date_time] => Array
(
[und] => Array
(
[0] => Array
(
[value] => 2021-07-06 00:00:00
[value2] => 2021-07-06 00:00:00
[timezone] => Europe/Helsinki
[timezone_db] => Europe/Helsinki
[date_type] => datetime
)
)
)
[field_location] => Array
(
)
[field_site_booking] => Array
(
[und] => Array
(
[0] => Array
(
[url] => https://asuiconlab.github.io/CNS2021Workshop/
[title] => https://asuiconlab.github.io/CNS2021Workshop/
[attributes] => Array
(
[target] => _blank
)
[html] =>
[display_url] => https://asuiconlab.github.io/CNS2021Workshop/
)
)
)
[field_host] => Array
(
[und] => Array
(
[0] => Array
(
[value] => 30th Annual Computational Neuroscience Meeting
[summary] =>
[format] =>
[safe_value] => <a href="https://www.cnsorg.org/cns-2021">30th Annual Computational Neuroscience Meeting</a>
[safe_summary] =>
)
)
)
[field_meeting_type] => Array
(
[und] => Array
(
[0] => Array
(
[value] => Workshop
[format] =>
[safe_value] => Workshop
)
)
)
[field_short_title] => Array
(
[und] => Array
(
[0] => Array
(
[value] => Training for Data-driven Workflows
[format] =>
[safe_value] => Training for Data-driven Workflows
)
)
)
[field_organiser] => Array
(
[und] => Array
(
[0] => Array
(
[value] => International Brain Initiative
[format] =>
[safe_value] => International Brain Initiative
)
)
)
[field_sponsor] => Array
(
)
[field_audience_type] => Array
(
[und] => Array
(
[0] => Array
(
[tid] => 49
[taxonomy_term] => stdClass Object
(
[tid] => 49
[vid] => 9
[name] => CNS*2021 Attendees
[description] =>
[format] =>
[weight] => 0
[vocabulary_machine_name] => audience_type
)
)
)
)
[path] => Array
(
[pathauto] => 1
)
[cid] => 0
[last_comment_timestamp] => 1624563476
[last_comment_name] =>
[last_comment_uid] => 1237
[comment_count] => 0
[nodehierarchy_menu_links] => Array
(
)
[name] => L.Borthwick
[picture] => 0
[data] => a:5:{s:16:"ckeditor_default";s:1:"t";s:20:"ckeditor_show_toggle";s:1:"t";s:14:"ckeditor_width";s:4:"100%";s:13:"ckeditor_lang";s:2:"en";s:18:"ckeditor_auto_lang";s:1:"t";}
[entity_view_prepared] => 1
)
