Metacognitive efficiency modelling in Python.
-
Updated
Nov 8, 2023 - Python
#
signal-detection-theory
Here are 13 public repositories matching this topic...
This repository contains the collection of Cognitive Science computation modeling projects made for the DTU Human-Centered AI course 02458: Cognitive Modeling
python matlab jupyter-notebook pca cognitive-science psychophysics signal-detection-theory ica psychometrics cognitive-neuroscience dtu cognitive-models bayesian-models visual-perception cognitive-modeling human-centered-data-science face-perception
-
Updated
Dec 30, 2019 - Jupyter Notebook
Signal detection theory measures with Julia
-
Updated
Jul 18, 2022 - Julia
Development of an R package for metacognition researchers
-
Updated
Jun 19, 2025 - HTML
Code and data for paper 'Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling'
autonomous-cars signal-detection-theory field-theory pre-trained-language-models affective-transition artificial-social-intelligence mentalising differential-emotions-scale non-verbal-variation-of-the-turing-test
-
Updated
Jul 16, 2023 - Jupyter Notebook
pyWitness performs data analyses and model fitting of recognition memory data, specifically eyewitness identification data.
recognition memory signal-detection-theory receiver-operating-characteristic eyewitness confidence-accuracy-characteristic detection-plus-localization
-
Updated
May 22, 2025 - Jupyter Notebook
JavaScript-based Signal Detection Theory visualization.
-
Updated
Jul 5, 2014 - JavaScript
Analyses of Memory Contextualization Task in SAM study
-
Updated
May 12, 2021 - R
Script and webapp to calculate multiple signal-detection theory parameters.
-
Updated
Sep 15, 2024 - R
Slides for class presentation | A short course on SDT, ROC curves and diagnostic tests
-
Updated
Sep 17, 2020
New methods lecture for master iMind in ICM 2024-2025
-
Updated
Feb 2, 2025 - Jupyter Notebook
🫀 This project detecting cardiovascular diseases using PCG, ECG, and PPG signals. It combines advanced signal processing, feature extraction, and machine learning models to analyze heart health, identify murmurs, and support clinical decision-making for early diagnosis and remote monitoring.
signal-processing digital-signal-processing predictive-analytics signal-analysis prediction-model signal-detection-theory detection-model signal-design-system ml-integration
-
Updated
Jul 7, 2025 - Jupyter Notebook
-
Updated
Oct 19, 2024 - HTML
Improve this page
Add a description, image, and links to the signal-detection-theory topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the signal-detection-theory topic, visit your repo's landing page and select "manage topics."