Metadata-Version: 2.1
Name: neurencoding
Version: 0.1.7
Summary: Neural encoding models made easy. Describe neuronal activity as a function of other variables
Author-email: Berk Gercek <berkgercek@duck.com>
Project-URL: Homepage, https://github.com/berkgercek/neurencoding
Project-URL: Bug Tracker, https://github.com/berkgercek/neurencoding/issues
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE

# Neurencoding

Neurencoding is a python package for implementing encoding models of single-unit activity for (at the moment) units recorded using electrophysiology. This package provides tools for expressing single-unit firing as a function of many external variables, such as task-related events and values.

This is the package used for the International Brain Lab (IBL) brain-wide map paper.

## Getting started

### Installation

In order to install `neurencoding`, please use pip to install the package in your choice of python environment (e.g. using virtualenv or Anaconda):

```
pip install neurencoding
```

### Loading in data

TBD

## Source work

All work based on code from pillowlab/neuroGLM, translated and extended.
