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-0.7.28.tar.gz (502.1 kB view details)

Uploaded Source

Built Distribution

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

reprostim-0.7.28-py2.py3-none-any.whl (134.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file reprostim-0.7.28.tar.gz.

File metadata

  • Download URL: reprostim-0.7.28.tar.gz
  • Upload date:
  • Size: 502.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for reprostim-0.7.28.tar.gz
Algorithm Hash digest
SHA256 27cdd9ff6f999ffd256a66a78d4a23a6b84580fc6b32135e443b6a82efc0cc4c
MD5 60df1990735434c082beb0b4e24aeb8f
BLAKE2b-256 93fb525f7ab360f093c17a5ec2b10b13342797cf039b26dffb32c84f657caca9

See more details on using hashes here.

File details

Details for the file reprostim-0.7.28-py2.py3-none-any.whl.

File metadata

  • Download URL: reprostim-0.7.28-py2.py3-none-any.whl
  • Upload date:
  • Size: 134.9 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-0.7.28-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ca89ccd6aebc10885d763cecd09b722d29048d1aa77dc4f78de4fa95213fb3b3
MD5 4b7d08304f96aa2e17708d8546fbc0e1
BLAKE2b-256 ca021861a562a0d35cda6e7a4cf0b79cef17f9dec7f05ba46e0acda87cd30598

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