Search Results for author:
Found 2 papers, 2 papers with code
A flow-based latent state generative model of neural population responses to natural images
We present a joint deep neural system identification model for two major sources of neural variability: stimulus-driven and stimulus-conditioned fluctuations.
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video
However, in many cases this approach requires that the model is able to generalize to stimulus statistics that it was not trained on, such as band-limited noise and other parameterized stimuli.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
