Skip to main content

A package for neural data acquisition with automated experiments

Project description

Welcome to openEPhys_DACQ repository.

This recording system works in synchrony with Open Ephys GUI and allows acquisition of video data from multiple cameras together with online tracking.

The package also includes a behavioural task for study of spatial navigation. The behavioural task involves physical actuators (reward modules) which can be built based on instructions in the documentation.

Please follow this link for documentation

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

openEPhys_DACQ-0.87.tar.gz (156.3 kB view details)

Uploaded Source

Built Distribution

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

openEPhys_DACQ-0.87-py3-none-any.whl (169.4 kB view details)

Uploaded Python 3

File details

Details for the file openEPhys_DACQ-0.87.tar.gz.

File metadata

  • Download URL: openEPhys_DACQ-0.87.tar.gz
  • Upload date:
  • Size: 156.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for openEPhys_DACQ-0.87.tar.gz
Algorithm Hash digest
SHA256 bec6fbd03c90a79048957d6600a01f627e026a8f9d4d6e6a445a650e6e399d85
MD5 d5cbb35dcdaa8c4c158b909331ca36ab
BLAKE2b-256 b9faa314519dc38bced95ef309ccd031d2eb1f74c30848cd3c05459cef2beae1

See more details on using hashes here.

File details

Details for the file openEPhys_DACQ-0.87-py3-none-any.whl.

File metadata

  • Download URL: openEPhys_DACQ-0.87-py3-none-any.whl
  • Upload date:
  • Size: 169.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for openEPhys_DACQ-0.87-py3-none-any.whl
Algorithm Hash digest
SHA256 18071a28390b0998ef98794800c4da71843e14c7938f0c1225d971c648c2bbf4
MD5 3439cbe1eb7327015e34b4fe337f62cd
BLAKE2b-256 d1e3a3e00873a6de77aa2fd105f2a971de2cec41d61e6a81514444674746edf1

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