Metacognitive efficiency modelling in Python.

This repository contains the collection of Cognitive Science computation modeling projects made for the DTU Human-Centered AI course 02458: Cognitive Modeling

Development of an R package for metacognition researchers

Signal detection theory measures with Julia

🫀 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.

pyWitness performs data analyses and model fitting of recognition memory data, specifically eyewitness identification data.

Code and data for paper 'Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling'

JavaScript-based Signal Detection Theory visualization.

Analyses of Memory Contextualization Task in SAM study

A Julia package for applying Signal Detection Theory models to data

Slides for class presentation | A short course on SDT, ROC curves and diagnostic tests

Fisher-information-based evaluation framework for HRTF spatial upsampling, with manuscript source, figures, metrics, and reproducibility code.

Script and webapp to calculate multiple signal-detection theory parameters.

A Python library for analysing data using signal detection theory.

New methods lecture for master iMind in ICM 2024-2025

CORTEX (Continuous Optimization Response Testing for EEG eXpertise): an adaptive Bayesian test of how well a clinician reads an EEG. A joint particle-filter engine over 7 tasks asks the most informative question next and stops once skill is certain. Cross-validated cut scores; Laplace/EKF clinical runtime.