معرفی
Jonathan D. Cohen is a Robert Bendheim and Lynn Bendheim Thoman Professor in Neuroscience and Professor of Psychology and Neuroscience at Princeton University. He leads the Natural and Artificial Minds Initiative as Associate Director, bridging computational neuroscience, cognitive science, and machine learning. His research explores the interplay between cognition, neural dynamics, and AI systems.
Research interests include
- Computational models of cognitive control and decision-making
- Cerebellar-cortical interactions in neurodevelopment and aging
- Neural-symbolic integration in AI architectures
- Quantum computing applications for cognitive modeling
- Medical applications of machine learning
Recent publications demonstrate expertise in artificial neural networks, autism neurobiology, semantic cognition, and interdisciplinary approaches to modeling human and machine intelligence. His work spans theoretical neuroscience, AI interpretability, and translational medicine applications.
Scientific contributions include
- Advancing hybrid mamba-transformer architectures for efficient reasoning
- Elucidating cerebellar roles in cognitive aging and disease
- Innovations in quantum models of cognition
- Developing frameworks for causal analysis in neural networks
- Exploring neurochemical diversity in psychedelic-producing fungi
