Wilson Truccolo

Wilson Truccolo is the Pablo J. Salame Goldman Sachs Associate Professor of Computational Neuroscience at Brown University's Carney Institute for Brain Science. His research focuses on understanding how human brain function emerges from collective neural dynamics and how neurological disorders like epilepsy result when these dynamics become pathological. He studies neural activity at multiple scales, from single neurons to large-scale brain networks.

Truccolo's research interests center on collective neural dynamics, computational neuroscience, epilepsy, neuroengineering, statistical neuroscience, and theoretical neuroscience. His work integrates advanced computational methods with experimental neuroscience to model and understand brain function and dysfunction. He particularly investigates how neural networks generate normal brain activity and how this activity becomes pathological during epileptic seizures.

His recent publications demonstrate a strong focus on seizure dynamics, neural network modeling, and brain-computer interfaces. His research shows consistent emphasis on understanding the computational principles underlying neural activity, with applications to both fundamental neuroscience and clinical problems like epilepsy. His work frequently involves collaboration with clinical researchers to translate computational findings into potential therapeutic approaches.

Truccolo has received significant research funding, including an NIH NINDS R01 grant as Principal Investigator. His research has been published in high-impact journals including Nature Scientific Reports, PLoS Computational Biology, The Lancet Neurology, and Nature Communications.

He teaches NEUR 2110 - Statistical Neuroscience at Brown University, reflecting his expertise in quantitative approaches to understanding brain function. His research program involves developing sophisticated computational models to analyze neural data across multiple spatial and temporal scales.