Neuron Activation
Neuron activation, the process by which neurons fire and transmit signals, is a central focus in understanding neural network function and behavior. Current research investigates neuron activation patterns to explain complex phenomena like arithmetic reasoning in large language models and to improve model robustness by mitigating issues such as outlier features and catastrophic forgetting. This involves analyzing activation distributions across various neural network architectures, including transformers and spiking neural networks, and developing methods to interpret and manipulate these patterns for improved model performance and explainability. Understanding neuron activation is crucial for advancing both fundamental neuroscience and the development of more efficient, reliable, and interpretable artificial intelligence systems.