Changes for page Extension tvb-ext-xircuits
Last modified by teodoramisan on 2026/02/13 10:11
From version 79.1
edited by teodoramisan
on 2026/02/13 10:07
on 2026/02/13 10:07
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To version 74.1
edited by teodoramisan
on 2026/02/13 09:19
on 2026/02/13 09:19
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... ... @@ -157,9 +157,9 @@ 157 157 [[image:timeseries-plotly.png||alt="view3.png" height="593" width="1100"]] 158 158 159 159 160 -=== 3. Visualize posterior sampleswitha pairplot(VBIinferenece)===160 +=== 3. Visualize posterior pairplot resulted from an inference workflow === 161 161 162 -This functionality is available for the **SamplePosterior**component. Right click on the component and select the**Open Viewer**functionality.162 +This functionality is available for the SamplePosterior component. Right click on the component and select the Open Viewer functionality. 163 163 164 164 This opens a new JupyterLab tab with an editable notebook. After following the instructions in the notebook, you will generate a pairplot of the posterior samples, showing the distribution of each parameter (uncertainty) and the relationships between parameters. 165 165 ... ... @@ -168,9 +168,9 @@ 168 168 [[image:plot-posteriors.png||height="593" width="1100"]] 169 169 170 170 171 -=== 4. Visualize time series from VBI simulations === 171 +=== 4. Visualize time series resulted from VBI simulations === 172 172 173 -This functionality is available for the **SimulationRunner**component. Right click on the component and select the**Open Viewer**functionality.173 +This functionality is available for the SimulationRunner component. Right click on the component and select the Open Viewer functionality. 174 174 175 175 This opens a new JupyterLab tab with an editable notebook. After following the instructions in the notebook, you will see a simple time-series plot of the simulated model signal over time. 176 176 ... ... @@ -193,14 +193,8 @@ 193 193 194 194 === 2. Full VBI Inference workflow === 195 195 196 -Contains all VBI components required to run an inference workflow, fr om__priorsampling__and__simulation__ to __posteriortraining__and __posterior sampling__.196 +Contains all VBI components required to run an inference workflow (e.g., inference configuration, model, simulator, train posterior, sample posterior). 197 197 198 -The workflow starts with **ConfigInference**, which builds the configuration inputs needed by the workflow. It samples parameter values from the prior distribution to generate theta and prepares the feature-extraction configuration (cfg) used later in the pipeline. 199 - 200 -Next, **SimulationRunner** executes the selected **VBI model** for a batch of parameter samples (theta) using the chosen backend (//cpp//, //cupy// or //numba//). It selects the requested output signal from the model result and extracts the summary features defined in cfg, producing the feature matrix used for training. 201 - 202 -The resulting features and parameter samples are then passed to **TrainPosterior**, which standardizes the feature matrix with //StandardScaler //and trains a posterior distribution using an SBI method (for example //SNPE//, //SNLE//, or //SNRE//). In the last step, **SamplePosterior** draws parameter samples from the trained posterior distribution, conditioned on the selected observed feature vector. 203 - 204 204 [[image:vbi_workflow.png||height="590" width="1100"]] 205 205 206 206 === 3. Configuring model parameters using the PhasePlaneWidget: === ... ... @@ -223,14 +223,5 @@ 223 223 224 224 A workflow simulation which is run remotely, by submitting a job to an HPC site and getting back the results (TimeSeries object). 225 225 226 -=== 6. Parallel simulations workflow === 227 - 228 -This example demonstrates **Parameter Space Exploration** (PSE) by running multiple TVB simulations in parallel for different parameter combinations. 229 - 230 -The workflow uses two nested ForEach components to iterate over coupling and conduction speed sets of values. For each (coupling, conduction_speed) pair, a simulation run is executed with the help of the RunParallelProcess component, which runs the workflow body in separate worker processes (using multiprocessing + dill). 231 - 232 -[[image:parallel-simulations.png||height="590" width="1100"]] 233 - 234 - 235 235 {{html}}<iframe width="1280" height="720" src="https://www.youtube.com/embed/M6rZClFgRrM" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>{{/html}} 236 236
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