amritamindbrain / biosignal-processing-vlab

This lab provides a platform for EEG data analysis and visualization for understanding the correlations of neural activity through electroencephalography data. Experiments designed in this lab help student communities to acquire expertise on fundamental tools that were necessary to describe, analyze and process common biological signals. With the recent trends of interest from computational neuroscience research, the experimental strategies were featured with models of neurons to understand general properties of neural networks and to graphically visualize how biological neurons work with computational efficiency. The lab focuses on an open-source signal analysis platform that can also be extended by students from across the internet.

Biosignal Processing and Analysis Lab

This lab provides a platform for EEG data analysis and visualization for understanding the correlations of neural activity through electroencephalography data. Experiments designed in this lab help student communities to acquire expertise on fundamental tools that were necessary to describe, analyze and process common biological signals. With the recent trends of interest from computational neuroscience research, the experimental strategies were featured with models of neurons to understand general properties of neural networks and to graphically visualize how biological neurons work with computational efficiency. The lab focuses on an open-source signal analysis platform that can also be extended by students from across the internet.

About

The simulation is a web-based application that allows to click and execute directly from a browser (web-based simulation platform). The application is very light, does not require any installation other than a modern browser.

Installation

• Clone the latest version of the Web Application.
• Unpack archive and open file <experiment_name>/index.html in your browser.

List of Experiments

1. Bio signal import and channel analysis

2. Time Frequency Analysis of Bio signals

3. Point processes and models

4. Filtering and removal of artifacts in Biosignals

5. Motor unit firing pattern

6. Modeling network activity as in biological circuits

7. Modeling synaptic network connectivity

8. Reconstructing averaged population response

9. Power spectrum calculations using different windows

10. Study the changes in the PSDs by varying window width

11. Analysis of biosignal activity and artifacts

About authors

Web simulation has been developed by Joshy Alphonse

Pedagogical content developed by Raki R, Nijin Nizar and Dhanush Kumar

For more information contact [email protected]

License

Web Application is licensed under GNU AGPL Version 3.