Terracotta (a portmanteau of Tool for Education Research with RAndomized COnTrolled TriAls) is a plug-in to the learning management system that allows the contents of online assignments to be differentiated for experimental treatment variations, and to be assigned randomly to different groups of students. Terracotta also enables privacy protecti…

Paper, code, and data related to the paper "Fitness tracking reveals task-specific associations between memory, mental health, and exercise" by Jeremy R. Manning, Gina M. Notaro, Esme Chen, and Paxton C. Fitzpatrick

PhyAAt: Physiology of Auditory Attention - Processing Library

Stop-signal task in Python

jACT-R Core (Maven build)

A battery of cognitive tasks for the python toolkit expyriment. Programmed for the use on android and desktop devices.

Computational Cognitive modelling, Reinforcement Learning NYU Spring 2020, Dr Brenden Lake and Dr. Todd Gureckis.

Study of a cognitive domain network in Alzheimer's disease patients using graph theory.

Reading span (RSPAN) task.

Launched in 2019, this project brings together a wide range of cognitive science insights tailored for managers of all kinds.

reflectR v. 2.1.3: automatic scoring of the Cognitive Reflection Test. (The package is available on CRAN, this space is used for testing new features or improving the code)

✅ Behavioral face recognition opendata and code for Matsuyoshi & Watanabe (2021) Psychol Res

Repository for "We Need Mentors, Not Oracles: Experiments In Building Effective Teaching Assistant LLMs", as presented at the RIT Center for Teaching and Learning AI Symposium (2024).

Lexical Decision Task - task testing semantic memory

a desktop card sorting application to uncover underlying mental models in participants

Interactive web app for the classic "2-4-6 problem" cognitive psychology experiment.

This is team project for SOSC440 in Postech

Duke University Department of Psychology & Neuroscience BRITE Lab

Multisensory, load-adaptive spaced-repetition app for TBI recovery—compare SM-2 vs. cognitive-load scheduling over an 8-day protocol to boost long-term retention and everyday-memory confidence.

Modeling ideas related to economics, behavioral economics, cognitive psychology, and data science.