Changes for page Interactive Exploration of Brain States and Spatio-Temporal Activity Patterns in Data-Constrained Simulations
Last modified by pierstanpaolucci on 2023/06/29 18:29
From version 9.1
edited by pierstanpaolucci
on 2021/09/21 15:29
on 2021/09/21 15:29
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To version 12.1
edited by pierstanpaolucci
on 2021/09/21 15:45
on 2021/09/21 15:45
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... ... @@ -2,10 +2,7 @@ 2 2 ((( 3 3 (% class="container" %) 4 4 ((( 5 -= Interactive Exploration of Brain States and Spatio-Temporal Activity Patterns in Data-Constrained Simulations = 6 - 7 -= = 8 - 5 +(% class="lead" id="HInteractiveExplorationofBrainStatesandSpatio-TemporalActivityPatternsinData-ConstrainedSimulations" %) 9 9 Explore brain states and spatio-temporal cortical activity patterns on your own 10 10 ))) 11 11 ))) ... ... @@ -16,6 +16,20 @@ 16 16 ((( 17 17 = Open the Lab link on the left to launch the interactive simulation = 18 18 16 +How the same network can generate different brain states with their specific propagation patterns and rhythms? 17 + 18 +In this Jupyter Lab the user can interactively change the neuromodulated fatigue parameters and observe in real-time the emergence of different categories of slow- wave wave-propagation patterns and the transition to an asynchronous regime on a columnar mean-field model equipped with lateral connections inferred from experimentally acquired cortical activity. 19 + 20 +The model displays the dorsal view of a mouse cortical hemisphere sampled by pixels of 100-micron size over a 25 mm2 field of view. 21 + 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). 23 + 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) 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]] 27 + 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]] 29 + 19 19 = = 20 20 ))) 21 21