VIOLA - visualization of layer activity

Setup parameters

Select configuration file (optional)

Data type

Spike data
Number of populations
Population names
EX,IN,STIM
Filenames of spike data
binned_sprates_rs_IN.dat,binned_sprates_rs_EX.dat,binned_sprates_rs_STIM.dat
Number of timestamps to store
Resolution of time series (ms)
Size of layer along x (mm)
Size of layer along y (mm)
Display
Population colors
#595289,#af143c,#696969
Number of timestamps for timeline

VIOLA is an interactive, web-based tool to visualize activity data in multiple 2D layers such as the simulation output of neuronal networks with 2D geometry.

The preferred browser for running VIOLA is Google Chrome.

The source code of the tool is hosted on GitHub.

For documentation, please refer to the README and the Wiki.

Authors: Corto Carde, Johanna Senk, Espen Hagen, Benjamin Weyers

Population
Background
Sum background
Timelines box

Display
- 2D Panel
- 3D Panel
- Graph
- Correlation
- Files
Parameters
- Frame interval ms
- Colors
3D View
- Scene >
  - Layers
  - 3D Timeline
- Camera >
  - Perspective
  - Orthographic
Data
- LFP >
  - Std dev factor
- Data Scaling f(x)=A*x-B >
  - A
  - B

Drag files here

info:
File upload Upload files by dragging and dropping them to the blue box or via a file manager by clicking the corresponding button.

info:
View 1 The spatially resolved spike-count rates of each population are displayed in 2D. For raw data, spikes are shown at the neuron locations.

info:
Views 2&4 View 2 (Scene Layers): The spatially resolved spike-count rates of each population are displayed in 3D. For raw data, spikes are shown at the neuron locations. View 4 (Scene Timeline): Spatially resolved spike-count rates as isosurfaces.
Select what to show and adjust the camera position.

Zoom in Zoom out
Time window of ms displayed

info:
View 3 The black trace shows the spike count summed over all populations. For preprocessed data, it is averaged over spatial bins. The relative fraction of each population is displayed as stack plot in the background. Zoom in or out to adjust the visible time window.

Max 1

Min 0

Population 1 Population 2

Max delay (timestep) Max distance (bin)

Size of sample (bin)

Use log scale Log scale value A : y=log(1+A*x)

CORRELATION Compute cross-correlations.