Create cognitive tasks for Reinforcement Learning agents and benchmark them
-
Updated
Nov 14, 2022 - Python
Create cognitive tasks for Reinforcement Learning agents and benchmark them
Simulates prefrontal cortex functions through specialized AI agents. By implementing a brain-inspired architecture, it assists in complex decision-making tasks across various domains including medical diagnosis, risk assessment, and strategic planning.
A repository for the simulation of a Go - No Go task
A lightweight desktop app built with Python and Tkinter that first runs a short Math Quiz (auto-validated numeric answers with “Correct 🙂 / Incorrect 🙁” feedback), and upon completion launches a timed Stroop Color sequence that displays images with a visible countdown and “Next” prompts between trials.
PsychoPy script for a Delayed Matching to Sample (DMS) task. Shows a sample image for 5s, waits 20s, then presents two images for the participant to choose the match. Supports folder-based image loading, numeric order pairing, CSV logging, and flexible timing.
Standardized Resting-State Paradigm
Two tasks as provided for a company interview tasks, see readme.md
MATLAB/Psychtoolbox implementation of a 4-target SSVEP-based BCI task. Visual stimuli flicker at 8,10,12,14Hz with real-time feedback via a moving circle.
Add a description, image, and links to the cognitive-task topic page so that developers can more easily learn about it.
To associate your repository with the cognitive-task topic, visit your repo's landing page and select "manage topics."