Manuel Molano-Mazon

Synthesizing realistic neural population activity patterns using Generative Adversarial Networks

The ability to synthesize realistic patterns of neural activity is crucial for studying neural information processing. Here we used the Generative Adversarial Networks (GANs) framework to simulate the concerted activity of a population of neurons. We adapted the Wasserstein-GAN variant to facilitate…