This is a preliminary overview of the autumn school program. All segments include a lecture and a corresponding lab.
Day 1
Morning
Deep learning and its relevance for psychology & components of neural networks.
Afternoon
Training of Deep Convolutional Neural Networks & Transfer learning
Day 2
Morning
Relating neural networks to behavior
Afternoon
Relating neural networks to neural data.
Day 3
Morning
Reinforcement learning
Afternoon
Recurrent neural networks
Day 4
Symposium on current developments in cognitive computational neuroscience and AI
Photo by Marcel van Gaal