Neural network dynamics

The advent of large-scale and high-density ex-vivo experiments enables the unveiling of neural network dynamics at unprecedented resolution. It is now routinely possible to grow neural network cultures from individual human subjects, allowing us to compare the dynamics of subtly different genetic backgrounds. As the analysis of network dynamics becomes more fine-grained, we observed unexplained variability of our results during the development stages of the cultures, beyond the boundaries of genotypic differences. Our work leveraged breakthroughs in culturing cortical neurons from human induce

…investigate the relationship between neural network dynamics and simple perceptual effects during inha

…and generalization in artificial deep neural networks remains a grand challenge of fundamental interest to theoretical neuroscience and machine learning. I will discuss our work on one facet of this challenge — namely understanding generalization or “scaling laws” in learned neural networks as a function of basic control variables. I’ll discuss a taxonomy we develop that classifies different regimes of scaling behavior. We identify regimes where generalization exhibits universal scaling behavior and others where it can be