5 Questions
What type of neural network was used to reconstruct face images from fMRI?
Variational auto-encoder (VAE) neural network.
What does the auto-encoder latent space provide?
A 1024-dimensional description of each image.
What type of mapping was learned between fMRI activation patterns and latent dimensions?
Simple linear mapping.
What were the inputs used to train the VAE neural network?
A large data set of celebrity faces.
What is the main challenge in distinguishing visually similar inputs?
Differentiating between different faces.
Quiz: Test your knowledge on reconstructing faces using deep generative neural networks from fMRI patterns. Explore the challenges of distinguishing visually similar inputs and the application of deep learning techniques.
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