Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

numan_plus-0.2.7.tar.gz (12.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

numan_plus-0.2.7-py3-none-any.whl (12.9 kB view details)

Uploaded Python 3

File details

Details for the file numan_plus-0.2.7.tar.gz.

File metadata

  • Download URL: numan_plus-0.2.7.tar.gz
  • Upload date:
  • Size: 12.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for numan_plus-0.2.7.tar.gz
Algorithm Hash digest
SHA256 064709596a4ed922ccefcb57a63f9587bae6125c892b607a5a61b175600263a7
MD5 3d0bd2cd0b8dda71df7734304c064ffe
BLAKE2b-256 2b6e926323c8ffc3c619373738bac566673f093c7e082256ab9522ba6b83054a

See more details on using hashes here.

File details

Details for the file numan_plus-0.2.7-py3-none-any.whl.

File metadata

  • Download URL: numan_plus-0.2.7-py3-none-any.whl
  • Upload date:
  • Size: 12.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for numan_plus-0.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 91406dbb6fc7ba506ef4ea427084cae447fb0284eb805c22ccdd8511b38c1dc2
MD5 cf61b9cd250051c4d9c22d919c8ef708
BLAKE2b-256 a9ef7ec18b4ad1cc1510a6007744a034eb71ae2aa91b86a7bb56fd7cf5c0de08

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page