Search Results for author:
Found 3 papers, 0 papers with code
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
We show that when we train a deep neural network architecture with two parallel pathways using a self-supervised predictive loss function, we can outperform other models in fitting mouse visual cortex.
Your head is there to move you around: Goal-driven models of the primate dorsal pathway
To test this hypothesis, we trained a 3D ResNet to predict an agent's self-motion parameters from visual stimuli in a simulated environment.
CaLFADS: latent factor analysis of dynamical systems in calcium imaging data
As such, the success of dynamic latent variable modelling in calcium imaging data rests on being able to disentangle the contribution of these two sources of variation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
