Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...
Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...
Abstract: In the past decade, there has been growing interest in developing AI-enabled neural interfaces for various neurological disorders and emerging brain-machine interface (BMI) applications. The ...