Metacognitive efficiency modelling in Python.
-
Updated
Nov 8, 2023 - Python
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
Code and data for paper 'Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling'
🫀 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.
Publication-ready ggplot2 visualizations for ordinal regression models in signal detection theory terms: ROC curves, latent distributions, and SDT indices for ordinal and brms models
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
Fisher-information-based evaluation framework for HRTF spatial upsampling, with manuscript source, figures, metrics, and reproducibility code.
Slides for class presentation | A short course on SDT, ROC curves and diagnostic tests
Reproducible Python analyses and an identification framework for distinguishing where context effects enter animal-communication systems.
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
A measurement instrument for taste: psychometric tests built on Hume's five criteria, with the analytics layer public. Deterministic scoring, IRT item calibration, parameter-recovery validation — and every unfielded number labelled SIMULATED.
To associate your repository with the signal-detection-theory topic, visit your repo's landing page and select "manage topics."