Neal Morton

Neal Morton is an Assistant Professor in the Department of Psychology at the University of Wisconsin–Milwaukee (UWM), with strong affiliations to the Neuroscience program. He is actively recruiting graduate students for the Neuroscience PhD program and conducts research at the intersection of cognitive neuroscience, memory, and machine learning. His work is centered in the HAMM Lab (https://hamllab.org).

Research Interests: Dr. Morton investigates how the human brain organizes and deploys complex knowledge through experience. His research focuses on memory integration, concept formation, and inference mechanisms, using human neuroimaging (fMRI) and computational modeling. He explores how semantic, spatial, and temporal structures are represented in the hippocampus and broader cortical networks, aiming to develop models that explain adaptive behavior and inform treatments for memory disorders.

Publication Trends: His recent publications (2013–2023) reveal a strong focus on hippocampal function, memory reactivation, semantic integration, and cognitive maps. The work frequently combines fMRI with machine learning and theoretical modeling, published in top journals like Journal of Neuroscience, Cerebral Cortex, and PNAS. A recurring theme is the role of medial temporal lobe structures in organizing memories across space, time, and concepts.

Scientific Awards:

Advising and Grants: Dr. Morton is actively recruiting PhD students for the Neuroscience program at UWM, indicating ongoing research activity and likely grant support. While specific grants and advisees are not listed, his publication record suggests mentorship of graduate students and collaboration with leading cognitive neuroscientists such as Arne D. Preston and Sean M. Polyn.

Labs and Teams: He is associated with the HAMM Lab (Human Adaptive Memory and Modeling Lab) at UWM, which focuses on using neuroimaging and computational models to understand memory and learning. The lab emphasizes interdisciplinary approaches combining cognitive psychology, neuroscience, and artificial intelligence.