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Explanatory Models in Cognitive Neuroscience: Code, Notebooks, and Materials

This repository contains some basic notebooks to introduce the fundamentals of model-based cognitive neuroscience. Specifically, it contains examples and code for the following topics:

  1. Introduction: An introduction to modeling with an an illustrated example.

  2. Reinforcement Learning

  3. Accumulator models

  4. Models of long-term memory

  5. Artificial Neural Networks.

To use the repository code, you might either download it on your computer and open the notebooks with Jupyter or Jupyter-lab (included in the Anaconda Python distribution), or open any notebook on your favorite browser using Binder by clicking on the button below.

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