Name: Laura Bock Paulsen
Type: User
Company: @centre-for-humanities-computing
Bio: Cognitive Science MSc, junior developer at Center for Humanities Computing and student worker at Center of Functionally Integrative Neuroscience.
Location: Aarhus, Denmark
Laura Bock Paulsen's Projects
Code for "Evaluation of Large Language Models from Human Goals" by Malte Lau Petersen and Laura Bock Paulsen.
Agent-based model used to investigate how the gender distribution of a company might change after certain interventions.
Code used for The Language Model Hackaton (https://itch.io/jam/llm-hackathon?fbclid=IwAR01LqDaBAqyl7kofPk8kgpydkOlYZSJV4B5Bh3hkm0GAz-rU84FcaDks3U)
Assignment 1 for Language Analytics (S2023)
Assignment 1 for Visual Analytics (S2023)
Assignment 2 for Visual Analytics (S2023)
Assignment 2 for Language Analytics (S2023)
Assignment 3 for Visual Analytics (S2023)
Assignment 3 for Language Analytics (S2023)
Assignment 4 for Language Analytics (S2023)
Main repository for all code and data related to Language Analytics (F23)
Repository for exercises in spatial analytics 2021 and 2022
Main repository for all code and data related to Visual Analytics (F22)
Final project for Visual Analytics course at Aarhus University (S2023)
Code used for Cognitive Neuroscience course
Class material for Cognitive Neuroscience S2024
Primary repository for the course: Data Science, Prediction, and Forecasting, taught as part of the CogSci masters program at Aarhus University.
Decoding analysis of MEG data in source- and sensor space
The code used for conducting a mouse tracking experiment as well as analysing the data for exam project in Cognitive Neuroscience.
This repository holds the code for the final project for Cultural Data Science
Code for final spatial analytics project
Portfolio assignment for advanced cognitive neuroscience (F2023)
This repository holds the code used for the exam project for decision making (F2023) at Aarhus University by Emma Risgaard Olsen and Laura Bock Paulsen.
This repository contains code and resources for modeling the dynamics of a matching-pennies game using the Rescorla-Wagner model, implemented with Stan and R.
Portfolio 1 for cognitive modeling