Hidden Neuron

Hidden neurons, the internal processing units within artificial neural networks, are a focus of research aimed at improving the interpretability and explainability of these "black box" models. Current efforts concentrate on developing methods to analyze hidden neuron activations, using techniques like statistical testing, symbolic reasoning with external knowledge bases (e.g., Wikipedia), and novel network architectures such as those incorporating interconnected hidden neurons or Lie algebra structures. Understanding hidden neuron behavior is crucial for advancing explainable AI, enabling more trustworthy and reliable deployment of deep learning in various applications, and potentially offering insights into biological neural networks.