Nanxiang Jin

I am a neuroscientist and Docent of Neurophysiology with extensive experience in electrophysiology, neural signal analysis, and computational neuroscience. My research spans multiple biological systems, including Caenorhabditis elegans, honeybees, mice, and humans, with the common goal of understanding how information is encoded, transmitted, and processed in living systems.

Throughout my career, I have applied electrophysiological approaches ranging from single-neuron recordings to human EEG studies to investigate the neural basis of learning, memory, cognition, and behavior. A major focus of my work has been Alzheimer’s disease and related neurodegenerative disorders, where I have contributed to research on EEG biomarkers, neural dysfunction, and pharmacological interventions in both patients and healthy controls.

My expertise combines electrophysiology, neural signal processing, behavioral video analysis, feature engineering, and scientific software development. Recently, I have expanded my research into artificial intelligence and deep learning, with a particular focus on developing accurate and efficient AI methods for automated detection and analysis of sleep-related EEG events.

I am also involved in interdisciplinary research on social communication in honeybees. By applying concepts and analytical approaches originally developed for neural electrophysiology, I investigate how information may be encoded and exchanged through bioelectrical signals within insect societies, contributing to our understanding of collective intelligence and distributed information processing.

My long-term research goal is to bridge neurophysiology, biological communication, and artificial intelligence to uncover general principles of information processing across levels of biological organization, from neural networks in the brain to communication networks in social insect colonies.