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machine_learning_and_neuroscience

(★ 135)

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

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Download Latest Version (.zip)

- - spectra.css
- - main.js
- createEdges.m
- createNodes.m
- ES_NetworkData.m
- - main.css
  - main.min.css
- - glyphicons-halflings-regular.eot
  - glyphicons-halflings-regular.svg
  - glyphicons-halflings-regular.ttf
  - glyphicons-halflings-regular.woff
  - glyphicons-halflings-regular.woff2
- - main.js
  - main.min.js
  - vendor.js
  - vendor.min.js
- index.html
bower.json
gulpfile.js
LICENSE.md
Neuroscience and AI.ipynb
package.json
README.md
SpectraVis-Demo.gif

# Installation Guide

1. Get the code

git clone https://github.com/llSourcell/machine_learning_and_neuroscience

Downloads the entire project code from GitHub to your computer.

cd machine_learning_and_neuroscience

Moves into the project folder you just downloaded.

2. Node.js

Easy Recommended

Prerequisites

Git Needed to download the project code from GitHub.
Node.js Node.js must be installed to use npm. The LTS version is recommended.

npm install

Downloads and installs the libraries listed in package.json.

npm start

Starts the development/run server.

✅ After running the command, open the address shown in the terminal (usually something like http://localhost:3000) in your browser.

// repository documentation

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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.

![](https://raw.githubusercontent.com/llSourcell/machine_learning_and_neuroscience/master/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 git@github.com/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.