Recurrent Neural Networks for Cognitive Neuroscience

Explore the application of recurrent neural networks (RNNs) in cognitive neuroscience through a hands-on tutorial led by MIT Assistant Professor Robert Guangyu Yang. Begin with a 30-minute lecture introducing RNNs and their relevance to cognitive neuroscience, followed by a workshop using Google Colab Notebooks. Learn to train and analyze RNNs on various cognitive tasks, gaining practical experience in implementing these powerful tools. Dive into topics such as defining RNNs, continuous time neural networks, and visualizing cognitive task environments. Practice coding exercises to reinforce concepts and improve your understanding of how RNNs can be utilized to study cognitive processes. Access provided Colab notebooks with explanations and optional answers to enhance your learning experience. Gain insights from Yang's expertise in computational neuroscience and artificial neural networks, bridging the gap between brain science and machine learning.

Intro
Why neural networks
Recurrent neural networks
Defining recurrent neural networks
Continuous time neural networks
Cognitive task
Visualizing the environment
Train the network
Performance