A package to generate recurrent neural networks from calcium imaging data of neural activity.
Project description
carnn
This package is designed to process calcium imaging data recorded from neuronal populations into recurrent neural networks to simulate experiments in silico.
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 Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
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
carnn-0.0.1-py3-none-any.whl
(15.9 MB
view details)
File details
Details for the file carnn-0.0.1-py3-none-any.whl.
File metadata
- Download URL: carnn-0.0.1-py3-none-any.whl
- Upload date:
- Size: 15.9 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3304d76e0a295acf761b3e38f9d3e2b49030651d11096c7027eede75bd114e4d
|
|
| MD5 |
78ad494cf7c8960080ca46eeba246198
|
|
| BLAKE2b-256 |
468b924917b950f01d4a2ce5c4cb76d778119b0a317cb6b9eeab345440e7bcf7
|