Skip to main content

Delayed Non-Match-To-Sample task for IBLRIG

Project description

Delayed Non-Match-To-Sample task

Delayed Non-Match-To-Sample task is a working memory-dependent variation of a standard IBL Rig decision-making task.

Description

This package implements a classic working memory-dependent task (Delayed Non-Match-To-Sample task, or DNMS) on the IBL Rig. Its structure inherits from BaseChoiceWorld, notably the BiasedChoiceWorld Session, and has certain functions of the NeuromodulatorChoiceWorld Session. DNMS task contains 5 epochs: precue presentation, delay, cue presentation, choice, and outcome. 1. Precue presentation: a visual stimulus is shown on the screen; 2. Delay: a gray screen is shown; 3. Cue presentation: 2 visual stimuli are shown, one of them identical to the precue and another the mirror image of the precue; 4. Closed loop: the mouse has to choose between the two stimuli. Possible outcomes are correct choice, error, or no-go; 5. Feedback: the mouse gets a reward if it chooses the correct stimulus, i.e. the one that mismatches the precue; 6. ITI: the mouse waits for the next trial.

License

MIT

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

dnms_task-0.1.1.tar.gz (5.9 kB view details)

Uploaded Source

Built Distribution

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

dnms_task-0.1.1-py3-none-any.whl (2.8 kB view details)

Uploaded Python 3

File details

Details for the file dnms_task-0.1.1.tar.gz.

File metadata

  • Download URL: dnms_task-0.1.1.tar.gz
  • Upload date:
  • Size: 5.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for dnms_task-0.1.1.tar.gz
Algorithm Hash digest
SHA256 bfabc0a1e32c841cda0e71bfcddaa84edc8483fbf49464f72985274a7868def7
MD5 b45adf6d93dc2395a45a364fa2323826
BLAKE2b-256 bb232043257ba5d9eb3f0ac129132dead8a7bc60fa7877af17d36a3a2a283298

See more details on using hashes here.

File details

Details for the file dnms_task-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: dnms_task-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 2.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for dnms_task-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 4ac4e7e6b2fdf81052d035faef8e3d0f444fbc4c4acd13e7ae0d7b919ba932a3
MD5 539d0f9740462c1e598fc5d35c87e16c
BLAKE2b-256 155c65791ab5983fcfd038cc18534da124821b01a910daf8c570c4b2ae9aa3f6

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