mid-task-deterministic

A PsychoPy implementation of the Monetary Incentive Delay (MID) task for fMRI, adapted from mid-task. Participants respond to a briefly displayed target to earn or avoid losing money.

Unlike mid-task, this variant is deterministic:

• No adaptive QUEST staircase — target duration is fixed per difficulty level.
• Six cues from a 2 × 3 design (polarity × magnitude), following the fmo-task scheme:
  • Circle (gain) with low/mid/high line → +$0, +$1, +$5
  • Square (loss) with low/mid/high line → -$0, -$1, -$5
• Three fixed difficulty levels (low, medium, high) control target display duration.

Documentation

Document	Description
Usage Guide	Running the task, startup dialog, keyboard controls, and output files
Development Guide	Developer setup, project structure, and key constants
Release Guide	Versioning (SemVer), verification, and how releases are published

Quick Start

UV is used for development; Anaconda is the production environment. Both install from the same pyproject.toml — see the Development Guide for details.

UV (development):

uv venv && uv sync
mid-task-det

Anaconda (production):

conda env create -f environment.yml
conda activate mid-task-deterministic
mid-task-det

Cue-Ratings Survey

A separate, self-paced survey (ported from MATLAB RunRatings.m) for rating each of the 6 cues on 7-point valence and arousal scales. Runs independently of the MID task:

mid-ratings-det

Output is a timestamped data/<subject>_ratings_<ts>/ folder containing <subject>_ratings.csv (polarity,magnitude,arousal,valence) and manifest.json. See the Usage Guide for controls and details.