# PhyAAt: Physiology of Auditory Attention
## Predictive analysis of auditory attention from physiological signals
### **[Project Homepage](https://phyaat.github.io)**
### **[PyPi - project](https://pypi.org/project/phyaat/)**
### Links: **[Homepage](https://phyaat.github.io)** | **[Documentation](https://phyaat.readthedocs.io/)** | **[Github](https://github.com/Nikeshbajaj/phyaat)** | **[PyPi - project](https://pypi.org/project/phyaat/)** | _ **Installation:** [pip install phyaat](https://pypi.org/project/phyaat/)
-----
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## Table of contents
- [**Installation**](https://github.com/Nikeshbajaj/phyaat#installation)
- [**Getting Started**](https://phyaat.github.io/introduction.html)
- [**Examples with Notebooks**](https://phyaat.github.io/modeling/)
- [**Publications**](https://phyaat.github.io/authors#publicaions)
-----
<p align="center">
<img src="https://phyaat.github.io/assets/images/ExperimentModel.png" width="700"/>
</p>
<p align="center">
<img src="https://github.com/PhyAAt/PhyAAt.github.io/blob/master/assets/images/EEGViz_Raw1.gif" width="500"/>
</p>
### Requirement :
['numpy','scipy','matplotlib','spkit']
## Installation
### with pip
```
pip install phyaat
```
### Build from the source
Download the repository or clone it with git, after cd in directory build it from source with
```
python setup.py install
```
## Getting Started
For starting check here - **[Getting Started](https://phyaat.github.io/introduction.html)**
#### Contents are being updated on the webpage continuously, please check there for updates
______________________________________
# Contacts:
* **Nikesh Bajaj**
* http://nikeshbajaj.in
* n.bajaj@qmul.ac.uk
* bajaj.nikkey@gmail.com
### PhD Student: Queen Mary University of London & University of Genoa
______________________________________
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