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+.. _Doc_BoxAlgorithm_2DTopography:
+
+2D Topography
+=============
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_2DTopography.png
+
+The *2D Topography* box combines EEG measures with topological information. 
+The input, being signal, spectrum, or any other metric, is mapped to a 2 dimensional plane model of the scalp surface, rendered in a 3D context.
+This box is provided with a preconfigured channel localisation file that contains the cartesian coordinates of every electrode positions of the extended 10-20 system.
+The mapping is done according to these coordinates using spherical spline interpolation.
+A color gradient is used to display the information, and can be customized at will to easily enhance or smooth the contrasts.
+Several presets are available, to match the gradients you may be already familiar with when using existing softwares such as Matlab or Elan.
+The color gradient is mapped to the current data scale, centered around 0.
+
+The *2D Topography* box shares common concepts and settings with the other boxes in the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Signal"
+
+Matrix
+~~~~~~
+
+The box input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+.. _Doc_BoxAlgorithm_2DTopography_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input signal before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_2DTopography_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
+For the 2D topography, please note that:
+
+- **Select Channels** : the selected channel are symbolized with a small white cube, which turns grey when unselected.
+
+
+Note that if the box receives a discontinuous data stream, such as a re-epoched signal through stimulation based epoching, the ERP replay features is exposed.
+Using the ERP replay allows you to slowly visualize the last epoch received.
+
+.. _Doc_BoxAlgorithm_2DTopography_Examples:
+
+Examples
+--------
+
+In the following example, we compute the band power of the signal in the 8-15 Hz frequency range, and average it over the last 32 epochs received.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{2DTopography.mxs}.
+
+.. figure:: images/2DTopography_Example.png
+   :alt: Example of scenario using the 2D topography
+   :align: center
+
+   Example of scenario using the 2D topography
+
@@ -0,0 +1,117 @@
+.. _Doc_BoxAlgorithm_3DCubes:
+
+3D Cubes
+========
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_3DCubes.png
+
+The *3D Cubes* box displays the data in a topographic view, where each channel (correctly identified and positionned thanks to a channel localisation file) is associated with a cube.
+All the cubes are positionned in a 3D space according to the corresponding positions of the electrodes on the scalp.
+The input data is displayed through 2 modalities:
+
+- the **cubes color**
+- the **cubes size**
+
+
+The cube size varies according to the same - absolute - range as the color, i.e. high negative or positive values will be 
+displayed as big cube while values close to zero with be displayed as small cubes.
+
+The *3D Cubes* box shares common concepts and settings with the other boxes in the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Signal"
+
+Matrix
+~~~~~~
+
+The box input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+.. _Doc_BoxAlgorithm_3DCubes_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_3DCubes_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+Note that if the box receives a discontinuous data stream, such as a re-epoched signal through stimulation based epoching, the ERP replay features is exposed.
+Using the ERP replay allows you to slowly visualize the last epoch received.
+
+.. _Doc_BoxAlgorithm_3DCubes_Examples:
+
+Examples
+--------
+
+In the following example, we compute the band power of the signal in the 8-15 Hz frequency range, and average it over the last 32 epochs received.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{3DCubes.mxs}.
+
+.. figure:: images/3DCubes_Example.png
+   :alt: Example of scenario using the 3D cubes
+   :align: center
+
+   Example of scenario using the 3D cubes
+
@@ -0,0 +1,109 @@
+.. _Doc_BoxAlgorithm_3DTomographicVisualization:
+
+3D Tomographic Visualization
+============================
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_3DTomographicVisualization.png
+
+The *3D Tomographic Visualization* is designed to display the output of a signal filtered using the a tomographic reconstruction algorithm such as LORETA.
+LORETA computes the spatial filter that transforms an input signal with :math:`C` channels/sensors to :math:`V =` 2394 sources. 
+These sources form a subdivision of the brain in 3 dimensions, each source being encoded as a small cube (7mm resolution) called *voxel*. The input to the box should thus be a matrix of 2394x3 values.
+
+The *3D Tomographic Visualization* box shares common concepts and settings with the other boxes in the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Signal"
+
+Matrix
+~~~~~~
+
+This box expects a source current density power stream coming from a LORETA transformation, ie matrices of :math:`V =` 2394 channels, one value per voxel of the reconstruction.
+
+.. _Doc_BoxAlgorithm_3DTomographicVisualization_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Translucency", "Float", "1"
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Translucency
+~~~~~~~~~~~~
+
+This setting expect a value between 0 and 1, from transparent to opaque color rendering (nb: this value is the alpha component of the color).
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_3DTomographicVisualization_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+Note that if the box receives a discontinuous data stream, such as a re-epoched signal through stimulation based epoching, the ERP replay features is exposed.
+Using the ERP replay allows you to slowly visualize the last epoch received.
+
+.. _Doc_BoxAlgorithm_3DTomographicVisualization_Examples:
+
+Examples
+--------
+
+In the following example, we compute the alpha band power of the signal, and deduce the corresponding sources activity using 
+an inverse model of the headset (eLORETA), that outputs the source components along x, y and z axis and the source current density power.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{3DTomographicVisualization.mxs}.
+
+.. figure:: images/3DTomographicVisualization_Example.png
+   :alt: Example of scenario using the 3D Tomographic Visualization
+   :align: center
+
+   Example of scenario using the 3D Tomographic Visualization
+
@@ -0,0 +1,120 @@
+.. _Doc_BoxAlgorithm_3DTopography:
+
+3D Topography
+=============
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_3DTopography.png
+
+The *3D Topography* box combines EEG measures with topological information. 
+The input, being signal, spectrum, or any other metric, is mapped to a 3D model of the scalp.
+This box is provided with a preconfigured channel localisation file that contains the cartesian coordinates of every electrode positions of the extended 10-20 system.
+The mapping is done according to these coordinates using spherical spline interpolation.
+A color gradient is used to display the information, and can be customized at will to easily enhance or smooth the contrasts.
+Several presets are available, to match the gradients you may be already familiar with when using existing softwares such as Matlab or Elan.
+The color gradient is mapped to the current data scale, centered around 0.
+
+The *3D Topography* box shares common concepts and settings with the other boxes in the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Signal"
+
+Matrix
+~~~~~~
+
+The box input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+.. _Doc_BoxAlgorithm_3DTopography_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input signal before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_3DTopography_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
+For the 3D topography, please note that:
+
+- **Select Channels** : the selected channel are symbolized with a small white cube, which turns grey when unselected.
+
+
+Note that if the box receives a discontinuous data stream, such as a re-epoched signal through stimulation based epoching, the ERP replay features is exposed.
+Using the ERP replay allows you to slowly visualize the last epoch received.
+
+.. _Doc_BoxAlgorithm_3DTopography_Examples:
+
+Examples
+--------
+
+In the following example, we compute the band power of the signal in the 8-15 Hz frequency range, and average it over the last 32 epochs received.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{3DTopography.mxs}.
+
+.. figure:: images/3DTopography_Example.png
+   :alt: Example of scenario using the 3D topography
+   :align: center
+
+   Example of scenario using the 3D topography
+
@@ -0,0 +1,145 @@
+.. _Doc_BoxAlgorithm_ContinuousBars:
+
+Continuous Bars
+===============
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_ContinuousBars.png
+
+The Continuous Bars displays input data in form of **vertical level bars**, one bar per value, one bar series for each channel.
+The display is done **continuously** , meaning that once the end of the horizontal scale is reached, it goes back to the origin.
+For lisibility (and esthetical) purpose, the bars are colored in a custom gradient (from left to right).
+
+The *Continuous Bars* box shares common concepts and settings with the other boxes in the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Streamed matrix"
+   "Markers", "Stimulations"
+
+Matrix
+~~~~~~
+
+The first input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+Markers
+~~~~~~~
+
+The second input expect stimulations. They will be displayed as **colored vertical lines**.
+
+.. _Doc_BoxAlgorithm_ContinuousBars_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Temporal Coherence", "Temporal Coherence", "Time Locked"
+   "Time Scale", "Float", "20"
+   "Matrix Count", "Integer", "50"
+   "Positive Data Only ?", "Boolean", "false"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Translucency", "Float", "1"
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Temporal Coherence
+~~~~~~~~~~~~~~~~~~
+
+Select *Time Locked* for a continuous data stream, and specify the *time scale* below.
+Select *Independent* for a discontinuous data stream, and specify the *matrix count* below.
+
+Time Scale
+~~~~~~~~~~
+
+The time scale in seconds, before the displays goes back to the origin.
+
+Matrix Count
+~~~~~~~~~~~~
+
+The number of input matrices to receive before the displays goes back to the origin.
+
+Positive Data Only ?
+~~~~~~~~~~~~~~~~~~~~
+
+If this checkbox is ticked, the vertical scale is shifted so that 0 is at the bottom. Only positive values will be displayed.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Translucency
+~~~~~~~~~~~~
+
+This setting expect a value between 0 and 1, from transparent to opaque color rendering (nb: this value is the alpha component of the color).
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_ContinuousBars_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
+.. _Doc_BoxAlgorithm_ContinuousBars_Examples:
+
+Examples
+--------
+
+In the following example, we compute the band power of the bipolar channel C3-C4 in the 8-15 Hz frequency range, and average it over the last 32 epochs received.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{ContinuousBars.mxs}.
+
+.. figure:: images/ContinuousBars_Example.png
+   :alt: Example of scenario using the Continuous Bars
+   :align: center
+
+   Example of scenario using the Continuous Bars
+
@@ -0,0 +1,120 @@
+.. _Doc_BoxAlgorithm_ContinuousBitmap:
+
+Continuous Bitmap
+=================
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_ContinuousBitmap.png
+
+The *Continuous Bitmap* displays input data in form of a 2D map of colored blocks (or *bitmap*).
+The display is done **continuously** , meaning that once the end of the horizontal scale is reached, it goes back to the origin.
+
+The *Continuous Bitmap* box shares common concepts and settings with the other boxes in the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Streamed matrix"
+   "Markers", "Stimulations"
+
+Matrix
+~~~~~~
+
+The first input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+Markers
+~~~~~~~
+
+The second input expect stimulations. They will be displayed as **red vertical lines**.
+
+.. _Doc_BoxAlgorithm_ContinuousBitmap_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Temporal Coherence", "Temporal Coherence", "Time Locked"
+   "Time Scale", "Float", "20"
+   "Matrix Count", "Integer", "50"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Temporal Coherence
+~~~~~~~~~~~~~~~~~~
+
+Select *Time Locked* for a continuous data stream, and specify the *time scale* below.
+Select *Independent* for a discontinuous data stream, and specify the *matrix count* below.
+
+Time Scale
+~~~~~~~~~~
+
+The time scale in seconds, before the displays goes back to the origin.
+
+Matrix Count
+~~~~~~~~~~~~
+
+The number of input matrices to receive before the displays goes back to the origin.
+
+Gain
+~~~~
+
+If this checkbox is ticked, the vertical scale is shifted so that 0 is at the bottom. Only positive values will be displayed.
+
+Caption
+~~~~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Color
+~~~~~
+
+Label to be displayed on top of the visualization window.
+
+.. _Doc_BoxAlgorithm_ContinuousBitmap_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
+.. _Doc_BoxAlgorithm_ContinuousBitmap_Examples:
+
+Examples
+--------
+
+In the following example, we compute the band power of the input signal in the 8-15 Hz frequency range, and average it over the last 32 epochs received.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{ContinuousBitmap.mxs}.
+
+.. figure:: images/ContinuousBitmap_Example.png
+   :alt: Example of scenario using the Continuous Bitmap
+   :align: center
+
+   Example of scenario using the Continuous Bitmap
+
@@ -0,0 +1,145 @@
+.. _Doc_BoxAlgorithm_ContinuousMultiOscilloscope:
+
+Continuous Multi Oscilloscope
+=============================
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_ContinuousMultiOscilloscope.png
+
+The *Continuous Multi-Oscilloscope* displays temporal numerical data in the form of curves, on the same vertical axis.
+Each channel is given a color according to a color gradient, rendered additively.
+The display is done **continuously** , meaning that once the end of the horizontal scale is reached, it goes back to the origin.
+
+The *Continuous Multi-Oscilloscope* box shares common concepts and settings with the other boxes in the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Signal"
+   "Markers", "Stimulations"
+
+Matrix
+~~~~~~
+
+The first input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+Markers
+~~~~~~~
+
+The second input expect stimulations. They will be displayed as **red vertical lines**.
+
+.. _Doc_BoxAlgorithm_ContinuousMultiOscilloscope_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Temporal Coherence", "Temporal Coherence", "Time Locked"
+   "Time Scale", "Float", "20"
+   "Matrix Count", "Integer", "50"
+   "Positive Data Only ?", "Boolean", "false"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Translucency", "Float", "1"
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Temporal Coherence
+~~~~~~~~~~~~~~~~~~
+
+Select *Time Locked* for a continuous data stream, and specify the *time scale* below.
+Select *Independent* for a discontinuous data stream, and specify the *matrix count* below.
+
+Time Scale
+~~~~~~~~~~
+
+The time scale in seconds, before the displays goes back to the origin.
+
+Matrix Count
+~~~~~~~~~~~~
+
+The number of input matrices to receive before the displays goes back to the origin.
+
+Positive Data Only ?
+~~~~~~~~~~~~~~~~~~~~
+
+If this checkbox is ticked, the vertical scale is shifted so that 0 is at the bottom. Only positive values will be displayed.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Translucency
+~~~~~~~~~~~~
+
+This setting expect a value between 0 and 1, from transparent to opaque color rendering (nb: this value is the alpha component of the color).
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_ContinuousMultiOscilloscope_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
+.. _Doc_BoxAlgorithm_ContinuousMultiOscilloscope_Examples:
+
+Examples
+--------
+
+In the following example, we compute the band power of the input signal in the 8-15 Hz frequency range, and average it over the last 32 epochs received.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{ContinuousMultiOscilloscope.mxs}.
+
+.. figure:: images/ContinuousMultiOscilloscope_Example.png
+   :alt: Example of scenario using the Continuous Multi-Oscilloscope
+   :align: center
+
+   Example of scenario using the Continuous Multi-Oscilloscope
+
@@ -0,0 +1,145 @@
+.. _Doc_BoxAlgorithm_ContinuousOscilloscope:
+
+Continuous Oscilloscope
+=======================
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_ContinuousOscilloscope.png
+
+The *Continuous Oscilloscope* displays temporal numerical data in the form of curves, all the channels being distributed vertically, each one with its own horizontal axis.
+Channel are given a color, overlaps are rendered additively.
+The display is done **continuously** , meaning that once the end of the horizontal scale is reached, it goes back to the origin.
+
+The *Continuous Oscilloscope* box shares common concepts and settings with the other boxes in the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Signal"
+   "Markers", "Stimulations"
+
+Matrix
+~~~~~~
+
+The first input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+Markers
+~~~~~~~
+
+The second input expect stimulations. They will be displayed as **red vertical lines**.
+
+.. _Doc_BoxAlgorithm_ContinuousOscilloscope_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Temporal Coherence", "Temporal Coherence", "Time Locked"
+   "Time Scale", "Float", "20"
+   "Matrix Count", "Integer", "50"
+   "Positive Data Only ?", "Boolean", "false"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Translucency", "Float", "1"
+   "Color", "Color", "${AdvancedViz_DefaultColor}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Temporal Coherence
+~~~~~~~~~~~~~~~~~~
+
+Select *Time Locked* for a continuous data stream, and specify the *time scale* below.
+Select *Independent* for a discontinuous data stream, and specify the *matrix count* below.
+
+Time Scale
+~~~~~~~~~~
+
+The time scale in seconds, before the displays goes back to the origin.
+
+Matrix Count
+~~~~~~~~~~~~
+
+The number of input matrices to receive before the displays goes back to the origin.
+
+Positive Data Only ?
+~~~~~~~~~~~~~~~~~~~~
+
+If this checkbox is ticked, the vertical scale is shifted so that 0 is at the bottom. Only positive values will be displayed.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Translucency
+~~~~~~~~~~~~
+
+This setting expect a value between 0 and 1, from transparent to opaque color rendering (nb: this value is the alpha component of the color).
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_ContinuousOscilloscope_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
+.. _Doc_BoxAlgorithm_ContinuousOscilloscope_Examples:
+
+Examples
+--------
+
+In the following example, we filter the input signal in the 8-15 Hz frequency range and simply display it.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{ContinuousOscilloscope.mxs}.
+
+.. figure:: images/ContinuousOscilloscope_Example.png
+   :alt: Example of scenario using the Continuous Oscilloscope
+   :align: center
+
+   Example of scenario using the Continuous Oscilloscope
+
@@ -0,0 +1,120 @@
+.. _Doc_BoxAlgorithm_ContinuousXYZPlot:
+
+Continuous XYZ Plot
+===================
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_ContinuousXYZPlot.png
+
+The *Continuous XYZ Plot* displays temporal numerical data in a 2D (*resp.* 3D) space, consecutive rows of the input matrix being grouped by 2 (*resp.* 3) to form the 2D (*resp.* 3D) trajectories.
+The display is done **continuously**, meaning that trajectories are persitent along time. Moreover, colors change as a function of time (samples order).
+
+The *Continuous XYZ Plot* box shares common concepts and settings with the other boxes in the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Signal"
+
+Matrix
+~~~~~~
+
+The first input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+.. _Doc_BoxAlgorithm_ContinuousXYZPlot_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Temporal Coherence", "Temporal Coherence", "Time Locked"
+   "Time Scale", "Float", "20"
+   "Matrix Count", "Integer", "50"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Translucency", "Float", "1"
+   "Show Axis", "Boolean", "true"
+   "Use third channel as depth", "Boolean", "false"
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Temporal Coherence
+~~~~~~~~~~~~~~~~~~
+
+Select *Time Locked* for a continuous data stream, and specify the *time scale* below.
+Select *Independent* for a discontinuous data stream, and specify the *matrix count* below.
+
+Time Scale
+~~~~~~~~~~
+
+The time scale in seconds, before the displays goes back to the origin.
+
+Matrix Count
+~~~~~~~~~~~~
+
+The number of input matrices to receive before the displays goes back to the origin.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Translucency
+~~~~~~~~~~~~
+
+This setting expect a value between 0 and 1, from transparent to opaque color rendering (nb: this value is the alpha component of the color).
+
+Show Axis
+~~~~~~~~~
+
+If this checkbox is ticked, the axis and the grid are displayed.
+
+Use third channel as depth
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If this checkbox is ticked, trajectories are plotted in a 3D space, otherwise in a 2D space.
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+.. _Doc_BoxAlgorithm_ContinuousXYZPlot_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
@@ -0,0 +1,122 @@
+.. _Doc_BoxAlgorithm_InstantBars:
+
+Instant Bars
+============
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_InstantBars.png
+
+The *Instant Bars* box displays input data in form of **vertical level bars**, one bar per value, one series of bar for each channel.
+The display is done **instantly** , meaning that whenever a new data block arrives, it is displayed in the visualization windows, filling all the vertical space.
+For lisibility (and esthetical) purpose, the bars are colored in a custom gradient (from left to right).
+
+This box is especially suitable for displaying **spectrum**.
+
+The *Instant Bars* box shares common concepts and settings with the other boxes of the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Spectrum"
+
+Matrix
+~~~~~~
+
+The input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+.. _Doc_BoxAlgorithm_InstantBars_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Positive Data Only ?", "Boolean", "false"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Translucency", "Float", "1"
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Positive Data Only ?
+~~~~~~~~~~~~~~~~~~~~
+
+If this checkbox is ticked, the vertical scale is shifted so that 0 is at the bottom. Only positive values will be displayed.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Translucency
+~~~~~~~~~~~~
+
+This setting expect a value between 0 and 1, from transparent to opaque color rendering (nb: this value is the alpha component of the color).
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_InstantBars_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
+.. _Doc_BoxAlgorithm_InstantBars_Examples:
+
+Examples
+--------
+
+In the following example, we compute the FFT of the input EEG signal and display it.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{InstantBars.mxs}.
+
+.. figure:: images/InstantBars_Example.png
+   :alt: Example of scenario using the Instant Bars to display spectrum
+   :align: center
+
+   Example of scenario using the Instant Bars to display spectrum
+
@@ -0,0 +1,102 @@
+.. _Doc_BoxAlgorithm_InstantBitmap:
+
+Instant Bitmap
+==============
+
+
+.. image:: images/Doc_BoxAlgorithm_InstantBitmap.png
+
+The *Instant Bitmap* box displays input data in form of a 2D map of colored blocks (or *bitmap*).
+The display is done **instantly** , meaning that whenever a new data block arrives, it is displayed in the visualization windows, filling all the horizontal space.
+The bitmap colors are chosen according to a custom gradient.
+
+The *Instant Bitmap* box shares common concepts and settings with the other boxes of the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Spectrum"
+
+Matrix
+~~~~~~
+
+The input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+.. _Doc_BoxAlgorithm_InstantBitmap_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_InstantBitmap_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
+.. _Doc_BoxAlgorithm_InstantBitmap_Examples:
+
+Examples
+--------
+
+In the following example, we compute the FFT of the input EEG signal and display it.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{InstantBitmap.mxs}.
+
+.. figure:: images/InstantBitmap_Example.png
+   :alt: Example of scenario using the Instant Bitmap to display spectrum
+   :align: center
+
+   Example of scenario using the Instant Bitmap to display spectrum
+
@@ -0,0 +1,104 @@
+.. _Doc_BoxAlgorithm_InstantBitmap3DStream:
+
+Instant Bitmap (3D Stream)
+==========================
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_InstantBitmap3DStream.png
+
+The *Instant Bitmap (3D Stream)* box displays input data in form of 2D maps of colored blocks (or *bitmap*).
+Each time a matrix is received, its contents are displayed to fill the visualization. Depending on the input type, the three dimensions of the matrix will be ordonned differently.
+The bitmap colors are chosen according to a custom gradient.
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Time-frequency"
+   "Markers", "Stimulations"
+
+Matrix
+~~~~~~
+
+The input matrices to be displayed. Currently this box supports only the Time-Frequency stream.
+
+Markers
+~~~~~~~
+
+The second input expects stimulations. They will be displayed as **colored vertical lines**.
+
+.. _Doc_BoxAlgorithm_InstantBitmap3DStream_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to ``Matlab`` and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_InstantBitmap3DStream_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
+.. _Doc_BoxAlgorithm_InstantBitmap3DStream_Examples:
+
+Examples
+--------
+
+In the following example, we compute the Time-Frequency Analysis for a generated signal.
+You can find a commented scenario in the provided sample set, the scenario file name is InstantBitmap3DStream.mxs.
+
+.. figure:: images/InstantBitmap3DStream_Example.png
+   :alt: Example of scenario using the Instant Bitmap (3D Stream)
+   :align: center
+
+   Example of scenario using the Instant Bitmap (3D Stream)
+
@@ -0,0 +1,121 @@
+.. _Doc_BoxAlgorithm_InstantMultiOscilloscope:
+
+Instant Multi Oscilloscope
+==========================
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_InstantMultiOscilloscope.png
+
+The *Instant Multi-Oscilloscope* displays temporal numerical data in the form of curves, on the same vertical axis.
+Each channel is given a color according to a color gradient, rendered additively.
+The display is done **instantly** , meaning that whenever a new data block arrives, it is displayed in the visualization windows, filling all the horizontal space.
+
+The *Instant Multi-Oscilloscope* box shares common concepts and settings with the other boxes in the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Signal"
+
+Matrix
+~~~~~~
+
+The input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+.. _Doc_BoxAlgorithm_InstantMultiOscilloscope_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Positive Data Only ?", "Boolean", "false"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Translucency", "Float", "1"
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Positive Data Only ?
+~~~~~~~~~~~~~~~~~~~~
+
+If this checkbox is ticked, the vertical scale is shifted so that 0 is at the bottom. Only positive values will be displayed.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Translucency
+~~~~~~~~~~~~
+
+This setting expect a value between 0 and 1, from transparent to opaque color rendering (nb: this value is the alpha component of the color).
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_InstantMultiOscilloscope_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
+.. _Doc_BoxAlgorithm_InstantMultiOscilloscope_Examples:
+
+Examples
+--------
+
+In the following example, we compute the FFT of the average right hand trial in a Motor Imagery session,
+and visualize the spectrum around left and right motor cortices through 2 Laplacian filters around C3 and C4.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{InstantMultiOscilloscope.mxs}.
+
+.. figure:: images/InstantMultiOscilloscope_Example.png
+   :alt: Example of scenario using the Instant Multi-Oscilloscope
+   :align: center
+
+   Example of scenario using the Instant Multi-Oscilloscope
+
@@ -0,0 +1,122 @@
+.. _Doc_BoxAlgorithm_InstantOscilloscope:
+
+Instant Oscilloscope
+====================
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_InstantOscilloscope.png
+
+The *Instant Oscilloscope* displays temporal numerical data in the form of curves.
+The display is done **instantly** , meaning that whenever a new data block arrives, it is displayed in the visualization windows, filling all the horizontal space.
+
+The *Instant Oscilloscope* box shares common concepts and settings with the other boxes in the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Signal"
+
+This box supports input modification: you can add or remove inputs at will.
+
+Matrix
+~~~~~~
+
+The input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+.. _Doc_BoxAlgorithm_InstantOscilloscope_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Positive Data Only ?", "Boolean", "false"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Translucency", "Float", "1"
+   "Color", "Color", "${AdvancedViz_DefaultColor}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Positive Data Only ?
+~~~~~~~~~~~~~~~~~~~~
+
+If this checkbox is ticked, the vertical scale is shifted so that 0 is at the bottom. Only positive values will be displayed.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Translucency
+~~~~~~~~~~~~
+
+This setting expect a value between 0 and 1, from transparent to opaque color rendering (nb: this value is the alpha component of the color).
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_InstantOscilloscope_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
+.. _Doc_BoxAlgorithm_InstantOscilloscope_Examples:
+
+Examples
+--------
+
+In the following example, we compute the FFT of the average right hand trial in a Motor Imagery session,
+and visualize the spectrum around left and right motor cortices through 2 Laplacian filters around C3 and C4.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{InstantOscilloscope.mxs}.
+
+.. figure:: images/InstantOscilloscope_Example.png
+   :alt: Example of scenario using the Instant Oscilloscope
+   :align: center
+
+   Example of scenario using the Instant Oscilloscope
+
@@ -0,0 +1,101 @@
+.. _Doc_BoxAlgorithm_InstantXYZPlot:
+
+Instant XYZ Plot
+================
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_InstantXYZPlot.png
+
+The *Instant XYZ Plot* displays temporal numerical data in a 2D (*resp.* 3D) space, consecutive rows of the input matrix being grouped by 2 (*resp.* 3) to form the 2D (*resp.* 3D) trajectories.
+The display is done **instantly**, meaning that whenever a new data block arrives, it is displayed in the visualization windows, without previous trajectories. Moreover, colors change as a function of time (samples order).
+
+The *Instant XYZ Plot* box shares common concepts and settings with the other boxes in the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Signal"
+
+Matrix
+~~~~~~
+
+The input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+.. _Doc_BoxAlgorithm_InstantXYZPlot_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Translucency", "Float", "1"
+   "Show Axis", "Boolean", "true"
+   "Use third channel as depth", "Boolean", "false"
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Translucency
+~~~~~~~~~~~~
+
+This setting expect a value between 0 and 1, from transparent to opaque color rendering (nb: this value is the alpha component of the color).
+
+Show Axis
+~~~~~~~~~
+
+If this checkbox is ticked, the axis and the grid are displayed.
+
+Use third channel as depth
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If this checkbox is ticked, trajectories are plotted in a 3D space, otherwise in a 2D space.
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+.. _Doc_BoxAlgorithm_InstantXYZPlot_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
@@ -0,0 +1,135 @@
+.. _Doc_BoxAlgorithm_StackedBitmapHorizontal:
+
+Stacked Bitmap (Horizontal)
+===========================
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_StackedBitmapHorizontal.png
+
+The *Stacked Bitmap (Horizontal)* box displays input data in form of 2D maps of colored blocks (or *bitmap*).
+All the bitmaps are stacked horizontally, starting from the left edge of the window.
+Whenever a new data block arrives, it is added to the visualization windows. If the end of the matrix count scale is reached, it goes back to the origin.
+The bitmap colors are chosen according to a custom gradient.
+
+The *Stacked Bitmap (Horizontal)* box shares common concepts and settings with the other boxes of the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Streamed matrix"
+   "Markers", "Stimulations"
+
+Matrix
+~~~~~~
+
+The first input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+Markers
+~~~~~~~
+
+The second input expect stimulations. They will be displayed as **colored vertical lines**.
+
+.. _Doc_BoxAlgorithm_StackedBitmapHorizontal_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Temporal Coherence", "Temporal Coherence", "Time Locked"
+   "Time Scale", "Float", "20"
+   "Matrix Count", "Integer", "50"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Temporal Coherence
+~~~~~~~~~~~~~~~~~~
+
+Select *Time Locked* for a continuous data stream, and specify the *time scale* below.
+Select *Independent* for a discontinuous data stream, and specify the *matrix count* below.
+
+Time Scale
+~~~~~~~~~~
+
+The time scale in seconds, before the displays goes back to the origin.
+
+Matrix Count
+~~~~~~~~~~~~
+
+The number of input matrices to receive before the displays goes back to the origin.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_StackedBitmapHorizontal_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
+.. _Doc_BoxAlgorithm_StackedBitmapHorizontal_Examples:
+
+Examples
+--------
+
+In the following example, we compute the FFT of every right-hand trial in a Motor Imagery session, filtered spatially around the two motor cortices.
+All the spectra are stacked on top of each other.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{StackedBitmapHorz.mxs}.
+
+.. figure:: images/StackedBitmapHorz_Example.png
+   :alt: Example of scenario using the Stacked Bitmap (Horizontal)
+   :align: center
+
+   Example of scenario using the Stacked Bitmap (Horizontal)
+
@@ -0,0 +1,135 @@
+.. _Doc_BoxAlgorithm_StackedBitmapVertical:
+
+Stacked Bitmap (Vertical)
+=========================
+
+.. container:: attribution
+
+   :Author:
+      Yann Renard
+   :Company:
+      Mensia Technologies SA
+
+.. image:: images/Doc_BoxAlgorithm_StackedBitmapVertical.png
+
+The *Stacked Bitmap (Vertical)* box displays input data in form of 2D maps of colored blocks (or *bitmap*).
+All the bitmaps are stacked vertically, starting from the bottom edge of the window.
+Whenever a new data block arrives, it is added to the visualization windows. If the end of the matrix count scale is reached, it goes back to the origin.
+The bitmap colors are chosen according to a custom gradient.
+
+The *Stacked Bitmap (Vertical)* box shares common concepts and settings with the other boxes of the **Mensia Advanced Visualization Toolset**.
+Additional information are available in the dedicated documentation pages:
+
+- :ref:`Doc_Mensia_AdvViz_Concepts`
+- :ref:`Doc_Mensia_AdvViz_Configuration`
+
+
+
+Inputs
+------
+
+.. csv-table::
+   :header: "Input Name", "Stream Type"
+
+   "Matrix", "Streamed matrix"
+   "Markers", "Stimulations"
+
+Matrix
+~~~~~~
+
+The first input can be a streamed matrix or any derived stream (Signal, Spectrum, Feature Vector).
+Please set the input type according to the actual stream type connected.
+
+Markers
+~~~~~~~
+
+The second input expect stimulations. They will be displayed as **colored vertical lines**.
+
+.. _Doc_BoxAlgorithm_StackedBitmapVertical_Settings:
+
+Settings
+--------
+
+.. csv-table::
+   :header: "Setting Name", "Type", "Default Value"
+
+   "Channel Localisation", "Filename", "${AdvancedViz_ChannelLocalisation}"
+   "Temporal Coherence", "Temporal Coherence", "Time Locked"
+   "Time Scale", "Float", "20"
+   "Matrix Count", "Integer", "50"
+   "Gain", "Float", "1"
+   "Caption", "String", ""
+   "Color", "Color Gradient", "${AdvancedViz_DefaultColorGradient}"
+
+Channel Localisation
+~~~~~~~~~~~~~~~~~~~~
+
+The channel localisation file containing the cartesian coordinates of the electrodes to be displayed.
+A default configuration file is provided, and its path stored in the configuration token ``${AdvancedViz_ChannelLocalisation}``.
+
+Temporal Coherence
+~~~~~~~~~~~~~~~~~~
+
+Select *Time Locked* for a continuous data stream, and specify the *time scale* below.
+Select *Independent* for a discontinuous data stream, and specify the *matrix count* below.
+
+Time Scale
+~~~~~~~~~~
+
+The time scale in seconds, before the displays goes back to the origin.
+
+Matrix Count
+~~~~~~~~~~~~
+
+The number of input matrices to receive before the displays goes back to the origin.
+
+Gain
+~~~~
+
+Gain (floating-point scalar factor) to apply to the input values before display.
+
+Caption
+~~~~~~~
+
+Label to be displayed on top of the visualization window.
+
+Color
+~~~~~
+
+Color gradient to use. This setting can be set manually using the color gradient editor.
+Several presets exist in form of configuration tokens ``${AdvancedViz_ColorGradient_X}``, where X can be:
+
+- ``Matlab`` or ``Matlab_Discrete``
+- ``Icon`` or ``Icon_Discrete``
+- ``Elan`` or ``Elan_Discrete``
+- ``Fire`` or ``Fire_Discrete``
+- ``IceAndFire`` or ``IceAndFire_Discrete``
+
+
+The default values ``AdvancedViz_DefaultColorGradient`` or ``AdvancedViz_DefaultColorGradient_Discrete`` are equal to </t>Matlab</tt> and ``Matlab_Discrete``.
+
+An example of topography rendering using these color gradients can be found :ref:`Doc_Mensia_AdvViz_Configuration` "here".
+
+.. _Doc_BoxAlgorithm_StackedBitmapVertical_VizSettings:
+
+Visualization Settings
+----------------------
+
+At runtime, all the advanced visualization shared settings are exposed, as described in :ref:`Doc_Mensia_AdvViz_Configuration_RuntimeToolbar`.
+
+.. _Doc_BoxAlgorithm_StackedBitmapVertical_Examples:
+
+Examples
+--------
+
+In the following example, we compute the FFT of every right-hand trial in a Motor Imagery session, filtered spatially around the two motor cortices.
+All the spectra are stacked on top of each other.
+
+You can find a commented scenario in the provided sample set, the scenario file name is \textit{StackedBitmapVert.mxs}.
+
+.. figure:: images/StackedBitmapVert_Example.png
+   :alt: Example of scenario using the Stacked Bitmap (Vertical)
+   :align: center
+
+   Example of scenario using the Stacked Bitmap (Vertical)
+