Neural encoding models made easy. Describe neuronal activity as a function of other variables
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file neurencoding-0.1.8.tar.gz.
File metadata
- Download URL: neurencoding-0.1.8.tar.gz
- Upload date:
- Size: 22.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3bb0ab175d8af616237d9163df33ba5d0fa98ec397407346fde451e453e1c72c
|
|
| MD5 |
1dc6a845cfd706a47e742f7718c30d6f
|
|
| BLAKE2b-256 |
2fcafc4888dae76d690372a0dc2278bc00e5d97a840acdd3910f584e64ab4495
|
File details
Details for the file neurencoding-0.1.8-py3-none-any.whl.
File metadata
- Download URL: neurencoding-0.1.8-py3-none-any.whl
- Upload date:
- Size: 22.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6a54fc03e08fa210b9b05a2680e43461b7cd783296ccdbe69b87e30a409b34c3
|
|
| MD5 |
bf046ba1fcaa058da0bf5d8dad0fefa0
|
|
| BLAKE2b-256 |
7c0ba44dcc556f0b150ce8687bd32fadb5156e58e5a755ff625f5b637993d8ad
|