mEBAL is a multimodal database for eye blink detection and attention level estimation.
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Updated
May 31, 2024
mEBAL is a multimodal database for eye blink detection and attention level estimation.
🧠 A tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format
Course material for the Advanced Cognitive Modeling class (Master students, Aarhus University)
Mirror of the official ACT-R Lisp implementation
Computational Cognitive modelling, Reinforcement Learning NYU Spring 2020, Dr Brenden Lake and Dr. Todd Gureckis.
Knights et al. (2021). Does Hemispheric Asymmetry Reduction in Older Adults (HAROLD) in motor cortex reflect compensation? Journal of Neuroscience, (45), 9361-9373.
A Python implementation of the ACT-R cognitive Architecture
Advanced Cognitive Modeling Portfolio: A series of assignments from Aarhus University's Cognitive Science course, focusing on modeling strategies for the Matching Pennies Game using Stan. This repository includes theoretical analyses and practical model validations.
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