Portfolio assignments from the Advanced Cognitive Modelling Course at the Master of Cognitive Science at AU
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Updated
May 15, 2020 - R
Portfolio assignments from the Advanced Cognitive Modelling Course at the Master of Cognitive Science at AU
The repository for the SNU course on the fundamentals and applications of cognitive modeling in fall, 2018.
Research project investigating the addition of confidence bounds to the drift diffusion model (DDM) in order to explain confidence ratings and their associated reaction times.
Balsamiq Wireframes to CogTool conversion.
The code of COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities. https://aclanthology.org/2022.coling-1.15.pdf In COLING 2022.
Liar's Dice game implemented in Python. Cognitive models, Qt UI (PySide)
Models of Motor Inhibition during Motor Imagery
Companion repository for the 2021 article "Unifying Models for Belief and Syllogistic Reasoning" published in the proceedings of the 43rd Annual Meeting of the Cognitive Science Society.
Companion repository for the 2020 article "Extending TransSet: An Individualized Model for Human Syllogistic Reasoning" published in the proceedings of the 18th International Conference on Cognitive Modeling (ICCM)
Artificial Intelligence for the study of emerging symbol-based communication in artificial creatures.
Master thesis on information sampling in decisions from experience
The repository for the SNU course on Dynamics and Cognitive Models in spring, 2019.
This repository contains the implementation of a wide variety of Neuroscience Projects in different applications of computational neuroscience, behavioral analysis, task design with Psychopy. These projects include university projects and projects implemented due to interest in Neuroscience.
Companion repository for the 2021 article "Model-Based Explanation of Feedback Effects in Syllogistic Reasoning" published in the proceedings of the 19th International Conference on Cognitive Modeling (ICCM)
Cardioception Toolbox - Measuring cardiac interoceptive performance with Psychopy
Blog on science, statistics, language and more.
PyTorch implementation of Feature Extracting Bidirectional Associative Memory (FEBAM).
The ARCADIA framework is for developing integrated, intelligent systems. This distribution includes several models and the components, sensors, etc. required to run them.
Artificial Intelligence for the study of the emergence of symbol-based communication in artificial creatures.
ACT-R Interactive Demo using Lemonade as a Case Study
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