Skip to main content

ReproStim is a video capture and recording suite for neuroimaging and psychology experiments.

Project description

Introduction

Read the Docs Tests PyPI Version Docker Image Version Conda GitHub release MIT License

ReproStim is a video capture and recording suite for neuroimaging and psychology experiments. Its goal is to provide experimenters with a complete record of audio and visual stimulation for every data collection session by making it possible to easily collect high fidelity copies of the actual stimuli shown to each subject in the form of video files that can be stored alongside behavioral or neuroimaging data in public repositories. ReproStim is part of large ReproFlow process represented in the diagram below:

Fig. 1: ReproNim ReproFlow Diagram, OHBM 2024 #2277

Note: This is interactive SVG diagram, so you can open it in separate window and click on the boxes to see more.

ReproStim provides for enhanced experimental reproducibility and a safeguard against data loss in cases of data-collection irregularities. Because ReproStim provides an exact record of the actual stimuli delivered during any given experimental session, it makes it possible to precisely reproduce experimental sessions, even if the original trial sets were randomized and precise trial details not recorded. In cases of experimental irregularities, such as aborted fMRI runs, unexpected glitches in trial timing, or programming errors that cause records of trial conditions to be lost, valuable data (which can be especially costly in cases of fMRI of ECog, for example) can be recoded and recovered using the audiovisual record provided by ReproStim.

ReproStim requires minimal effort on behalf of investigators. Once it is setup as the default mode within a behavioral lab or neuroimaging center, investigators can reap the benefits of ReproStim without any additional effort on the part of individual experimenters. When successfully set up, ReproStim runs in the background, silently collecting, cataloging, and storing all audio and visual stimulation delivered to experimental subjects.

Documentation: full documentation is available at Read the Docs.

Appendix: ReproFlow Projects

  • BIDS - brain imaging data structure standard.
  • Birch - birch interface documentation.
  • CON - center for open neuroscience homepage.
  • con/noisseur - system for automated verification of entered/displayed information (on another computer).
  • containers/repronim - repronim containers binary distribution for reproducible neuroimaging.
  • containers/repronim-reprostim - reprostim containers metadata and tools to generate/build binaries.
  • DataLad - distributed data management free and open source tool.
  • DBIC - Dartmouth brain imaging center.
  • DICOM - digital imaging and communications in medicine standard.
  • HeuDiConv - heuristic-centric DICOM converter.
  • Magewell USB Capture - Magewell USB Capture devices.
  • MWCapture SDK - Magewell USB Capture SDK and APIs.
  • NeuroDebian - ultimate neuroscience software platform.
  • NTP - network time protocol wiki.
  • ReproEvents - events listener server and micropython-based firweware for Raspberry Pi event relay devices.
  • reproflow-data-sync - DataLad dataset with all samples of recorded ReproEvents, ReproStim, etc. data for purpose of calibration and establishing processing pipelines.
  • ReproIn - setup for automatic generation of shareable, version-controlled BIDS datasets from MR scanners.
  • ReproMon - service to monitor data acquisition to alert if anything goes wrong in ReproFlow.
  • ReproStim - automated capture of audio-visual stimuli into BIDS datasets.
  • reprostim-capture - set of tools and utilities to capture video/audio signal with Magewell USB Capture devices and save it to a file. It is a part of the ReproStim project.

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

reprostim-0.7.26.tar.gz (493.0 kB view details)

Uploaded Source

Built Distribution

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

reprostim-0.7.26-py2.py3-none-any.whl (133.3 kB view details)

Uploaded Python 2Python 3

File details

Details for the file reprostim-0.7.26.tar.gz.

File metadata

  • Download URL: reprostim-0.7.26.tar.gz
  • Upload date:
  • Size: 493.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for reprostim-0.7.26.tar.gz
Algorithm Hash digest
SHA256 8124be82dd0cc1ff6a376fdacf616151caa5014531de6f968bb3e508a97de60c
MD5 820c51137c26b9c61b7b4215b2da6644
BLAKE2b-256 ab6d0544a28e979e80c0146dbde7b6ef4b7315b84f52ef5a1842d8b929fc67c4

See more details on using hashes here.

File details

Details for the file reprostim-0.7.26-py2.py3-none-any.whl.

File metadata

  • Download URL: reprostim-0.7.26-py2.py3-none-any.whl
  • Upload date:
  • Size: 133.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for reprostim-0.7.26-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 cb03aa517aef66b147ad0be1c64541fde9498255ad811ccc14050a54fa004bc4
MD5 336096937ce7bc708a02c50c2e1d5af1
BLAKE2b-256 61514e3161fc5425558566882a506a7b866f60a65ebb874a69fcdd90c3acb5d8

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