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 53.1
edited by cristianocapone
on 2022/05/18 15:38
on 2022/05/18 15:38
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To version 48.1
edited by cristianocapone
on 2022/05/18 15:30
on 2022/05/18 15:30
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Uploaded new attachment "Schermata 2022-05-18 alle 15.26.56.png", version {1}
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... ... @@ -18,21 +18,16 @@ 18 18 19 19 In this Jupyter Lab environment, the user can interactively change the neuromodulation and adaptation parameters and observe in real-time the emergence of different categories of slow-wave wave-propagation patterns (spontaneous and evoked) and the transition to an asynchronous regime on a columnar mean-field model equipped with lateral connections inferred from experimentally acquired cortical activity. 20 20 21 - (% style="color:#e74c3c" %)[[image:Schermata 2022-05-18 alle 15.26.38.png]]21 +[[image:snap_1.png||height="364" width="658"]] 22 22 23 +**Stimulus OFF** 23 23 24 -[[image: Schermata2022-05-18 alle 15.33.38.png]]25 +[[image:snap_2.png||height="237" width="606"]] 25 25 27 +**Stimulus ON** 26 26 27 - **StimulusOFF (Spontaneous)**29 +[[image:snap_2.png||height="237" width="606"]] 28 28 29 - 30 -(% style="color:#e74c3c" %)[[image:Schermata 2022-05-18 alle 15.34.01.png]] 31 - 32 -**Stimulus ON (Stimulated)** 33 - 34 -[[image:Schermata 2022-05-18 alle 15.26.56.png||alt="snap_2.png"]] 35 - 36 36 **Acknowledgment** 37 37 38 38 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.
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