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Hardware-accelerated data visualization for neuroscientific data in Python

Project Description

[![Build Status](](

# visbrain

![Visbrain]( “Visbrain”)

Visbrain is a python package dedicated (mainly) to the visualization of neuroscientist data. Check the [documentation]( for further details

## Installation

To see the installation requirements, check the [documentation](

## Modules

### Brain

The [Brain]( Display a standard MNI brain inside a graphical user interface (using PyQt4 for instance). This module can be used for:

  • Display one of the 3 included standard MNI brain or your own template (using vertices and faces)
  • Interactions (rotation / translation / transformations / slices)
  • Display sources, materialized by small balls (like deep sources or captors…)
    • Add activity to each sources
    • Color each sources as you want (like one color per subject, per area…)
    • Project sources acitivity on the surface
    • Project the cortical repartion of those sources
    • A lot of control on color (use any matplotlib colormaps, specify color threshold and colors for under/over those threshold, mask some sources…)
  • Display connectivity link between sources
    • Color connexions either by their strength or by the number of connexions per node
    • Use a dynamic control of transparency to make stronger connexions more visible
    • A lot of other color controls (colormap / limits / threshold…)
  • Deep structures (like brodmann areas, AAL…). Source’s activity can be projected on deep sources.
  • Use either the graphical inteface to interact or use the [user functions]( to run every commands without opening the interface. This tricks can be really usefull to produce a large number of figures.
  • Finally, export figures in high-definition.

![Brain]( “Brain : visualize your data into a transparent MNI brain”)

### Sleep

[Sleep]( is a sleep data dedicated interface for visualization, processing and edition.

  • Load .eeg (Brainvision and ELAN), .edf, .trc (Micromed) or directly pass raw data
  • Visualize channels / spectrogram / hypnogram / topoplot, time window control and fast plot update
  • Hypnogram edition (either by manually adding where stages start / finish or interactively by adding / dragging and moving points) and save the edited hypnogram (.txt, .csv and .hyp)
  • Spindles / REM / Peaks / Slow waves / K-complex / Muscle twiches detection and report results on each channel and hypnogram
  • Signal processing tools (filtering…)

![sleep]( “Sleep : load, visualize and edit sleep data”)

### Ndviz

The [Ndviz]( module help you to visualize multi-dimentional data in a memory efficient way.

  • Nd-plot: visualize all of your signals in one grid

  • 1d-plot: visualize each signal individually in one of the several forms below
    • As a nice continuous line
    • As a cloud of points
    • As a histogram
    • As an image
    • In the time-frequency domain using the spectrogram

    Each object inherit from a large number of color control or different settings.

![ndviz]( “Ndviz : data mining”)

## Contributors

### Main contributors

### Thx to… Christian O’Reilly, Perrine Ruby, JB Einchenlaub, kevroy314, Annalisa Pascarella, Thomas Thiery, Yann Harel, Anne-Lise Saive, Golnush Alamian…

Release History

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