2019
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
NeurIPS 2019poster
Continuing advances in neural interfaces have enabled simultaneous monitoring of spiking activity from hundreds to thousands of neurons. To interpret these large-scale data, several methods have been proposed to infer latent dynamic structure from high-dimensional datasets. One recent line of work u…