A package for additional functionalities in numan (https://github.com/LemonJust/numan)
Project description
Example Package
This package provides some additional functions to numan (https://github.com/LemonJust/numan) for analysis of calcium imaging experiments with numerical stimuli. Specifically, new functions for cells segmentation with CaImAn and for computing number neurons with ANOVA followed by tuning curves creation are provided.
Function new_report is adapted from https://github.com/LemonJust/numan Functions inside compute_anova and compute_tunings are adapted from https://github.com/khalednasr/nn-numerosity-zero
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 numan_plus-0.3.6.tar.gz.
File metadata
- Download URL: numan_plus-0.3.6.tar.gz
- Upload date:
- Size: 19.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cd3b670902703949023b5fba43f64e5033dcdb8d4dcab93d19811d09759b58a2
|
|
| MD5 |
55a139003350fa3cffaa2107ccd0440a
|
|
| BLAKE2b-256 |
c51bd826fcaf5d13fa442f6c8f75991ae06524b4194de624a691ff6fb6ddce5b
|
File details
Details for the file numan_plus-0.3.6-py3-none-any.whl.
File metadata
- Download URL: numan_plus-0.3.6-py3-none-any.whl
- Upload date:
- Size: 20.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
46894e274971c114fc10f2f9f20dedb2921593f5b193823ca1055a6dad6872c7
|
|
| MD5 |
060332b2f96b68712df007e2273c69fd
|
|
| BLAKE2b-256 |
890386b7b2f6916eafed1d242698eae120ea4c7dd700f02736496e6e9dc89e16
|
