https://github.com/llSourcell/machine_learning_and_neuroscience

This is the code for "Machine Learning & Neuroscience" By Siraj Raval on Youtube
https://github.com/llSourcell/machine_learning_and_neuroscience

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This is the code for "Machine Learning & Neuroscience" By Siraj Raval on Youtube

• Host: GitHub
• URL: https://github.com/llSourcell/machine_learning_and_neuroscience
• Owner: llSourcell
• License: gpl-2.0
• Created: 2018-02-08T03:53:56.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-02-08T03:56:56.000Z (almost 7 years ago)
• Last Synced: 2024-08-03T15:06:26.557Z (3 months ago)
• Language: JavaScript
• Size: 4.42 MB
• Stars: 129
• Watchers: 15
• Forks: 51
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
SpectraVis

==========

This is the code from [this](https://youtu.be/e_BOJS1BLj8) video on Youtube by Siraj Raval.

An interactive network visualization tool for exploring [functional brain connectivity](http://www.scholarpedia.org/article/Brain_connectivity) using [d3.js](http://d3js.org/). See [this](http://ericdeno.com/research/SpectraVis/) for an example of SpectraVis in action.

![](./SpectraVis-Demo.gif)

SpectraVis allows you to:

+ examine how network dynamics change over time and frequency

+ compare local (statistical dependencies between a single pair of nodes) and global (statistical dependencies between all nodes) dynamics.

+ compare different types of functional connectivity measures (correlation, coherence).

+ compare between different subjects.

+ examine only within- or between-brain area connections

+ switch between multiple network views for better understanding of the network structure

## Installation

To install SpectraVis, download the latest release:

+  [https://github.com/edeno/SpectraVis/releases](https://github.com/edeno/SpectraVis/releases)

Or use Node.js and its package manager (npm):

1. Open a terminal (Mac) or a Windows Command Prompt (`Start > All Programs > Accessories > Windows Command Prompt `)

2. Download or clone the repository: `git clone https://github.com/edeno/SpectraVis.git`

3. Install Node.js using one of the [installers](https://nodejs.org/).

4. Enter in the terminal or command prompt: `npm install spectravis`

This will install the relevant development dependencies. Running `gulp` in the terminal will automatically launch a webserver on [http://localhost:8000/](http://localhost:8000/) where you can view the visualization.

## Usage

`spectravis.init(params)` starts the visualization in `index.html`.

See the [wiki](https://github.com/edeno/SpectraVis/wiki) for more information on how to view the visualization on your local machine, the expected structure of the data, and converting data from Matlab to JSON.

## Modifying and Contributing

Fork, then clone the repo:

````

git clone [email protected]/your-username/SpectraVis.git

````

Use `npm install` to get the development dependencies. Place your Data in `app/DATA/`.

Push to your fork and submit a pull request to the `develop` branch.

## License

[GPL-v2](http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html)

## Credits

The credits for this code go to [Neurophysvis](https://github.com/NeurophysVis/SpectraVis). I've merely created a wrapper to get people started.