Neuron Population

Neuron population research investigates how groups of neurons collectively process information in the brain and artificial neural networks. Current studies focus on understanding how these populations encode information, particularly using mathematical frameworks like convex cone algebra and topological analysis of neural tuning landscapes, and employing machine learning techniques such as convolutional neural networks to model and analyze their activity. This research is crucial for advancing our understanding of brain function, improving artificial intelligence models, and potentially leading to new diagnostic and therapeutic tools for neurological disorders. The development of more biologically plausible and interpretable artificial neural networks, inspired by the brain's population coding, is a significant outcome.