Last modified by pierstanpaolucci on 2023/06/29 18:29
From version 12.1
edited by pierstanpaolucci
on 2021/09/21 15:45
Change comment: There is no comment for this version
To version 10.1
edited by pierstanpaolucci
on 2021/09/21 15:38
Change comment: There is no comment for this version

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5 -(% class="lead" id="HInteractiveExplorationofBrainStatesandSpatio-TemporalActivityPatternsinData-ConstrainedSimulations" %)
5 += Interactive Exploration of Brain States and Spatio-Temporal Activity Patterns in Data-Constrained Simulations =
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6 6  Explore brain states and spatio-temporal cortical activity patterns on your own
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22 22  The connectivity of the model was inferred from cortical activity acquired using GECI imaging technique. Even if the connectivity of the model was inferred from a single brain-state, the neuromodulated model supports the emergence of a rich dynamic repertoire of spatio-temporal propagation patterns, from those corresponding to deepests levels of anesthesia (spirals) to classical postero-anterior and rostro-caudal waves up to the transition to asynchronous activity, with the dissolution of the slow-wave features (1).
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24 -The experimental data set from which the model has been inferred has been provided by LENS and it is available in the EBRAINS KG (2)
27 +The experimental data set from which the model has been inferred has been provided by LENS and it is available in the EBRAINS KG(2)
25 25  
26 -(1) Capone, C. et al. (2021) “Simulations Approaching Data: Cortical Slow Waves in Inferred Models of the Whole Hemisphere of Mouse” arXiv:2104.07445 [[https:~~/~~/arxiv.org/abs/2104.07445>>https://arxiv.org/abs/2104.07445]]
29 +(1) Capone, C. et al. (2021) “Simulations Approaching Data: Cortical Slow Waves in Inferred Models of the Whole Hemisphere of Mouse” arXiv:2104.07445 https:~/~/arxiv.org/abs/2104.07445
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28 -(2) Resta, F., Allegra Mascaro, A. L., & Pavone, F. (2020). //Study of Slow Waves (SWs) propagation through wide-field calcium imaging of the right cortical hemisphere of GCaMP6f mice// [Data set]. EBRAINS. [[DOI: 10.25493/3E6Y-E8G>>url:https://doi.org/10.25493%2F3E6Y-E8G]]
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