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-0.1.3.tar.gz (6.8 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-0.1.3-py3-none-any.whl (2.8 kB view details)

Uploaded Python 3

File details

Details for the file dnms_task-0.1.3.tar.gz.

File metadata

  • Download URL: dnms_task-0.1.3.tar.gz
  • Upload date:
  • Size: 6.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for dnms_task-0.1.3.tar.gz
Algorithm Hash digest
SHA256 9fb04329b3bf01cb1305b3898b7fee28ef50c76d2195c5e9c9172c04f8056adb
MD5 f403b39e04e9b7def8ff2fba80723fd0
BLAKE2b-256 43c58edaf8f67fefffb0114cdcb957f71e32fd1f7317b1e33fd31bae1c4eef37

See more details on using hashes here.

File details

Details for the file dnms_task-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: dnms_task-0.1.3-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-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 956afefa4b5b58a93f8931698d93c51d79fe5c04df72a9f8bc4b3303f35ef109
MD5 13015407123a1c15b8dd6e0c9432617f
BLAKE2b-256 b77cbe9151b18e20a0ae4d2312076141cf4de360f28cc7ea4c89066e8bf49ad8

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