Geometric decoding of neural data with built-in best practices.
Project description
Decodanda (dog latin for “to be decoded”) is a best-practices-made-easy Python package for decoding neural data. Decodanda is designed to expose a user-friendly and flexible interface for population activity decoding, with a series of built-in best practices to avoid the most common pitfalls. In addition, Decodanda exposes a series of functions to compute the Cross-Condition Generalization Performance (CCGP, Bernardi et al. 2020) for the geometrical analysis of neural population activity.
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 decodanda-0.6.9.tar.gz.
File metadata
- Download URL: decodanda-0.6.9.tar.gz
- Upload date:
- Size: 57.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dad57844f749298568d79ff4426ca8781942d04b4a0bb833fe6955a09d8b5512
|
|
| MD5 |
81a90e782a60dbde439294c9cca1dc2a
|
|
| BLAKE2b-256 |
3b52c9785dd9129e2085ffd6c86b2eb67b104a31be1f59e99ab1db00adeb8890
|
File details
Details for the file decodanda-0.6.9-py3-none-any.whl.
File metadata
- Download URL: decodanda-0.6.9-py3-none-any.whl
- Upload date:
- Size: 52.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5e02b1d2da949c74b11842d2ec35c83b98157cde48c99241e4f1514c46150e06
|
|
| MD5 |
e97dd4db9dbeb8b97b5c531a25ced985
|
|
| BLAKE2b-256 |
b03b04eebc4de34a9dde24cd50d53e0602cfdf6e31dedbdc65f4363a89760dda
|
