About CNRLab

The Computational Neuroscience Research Lab (CNRLab) is an independent research laboratory developing advanced neurocomputational models and neuroimaging methods.

Mission

CNRLab’s mission is to transform how human brain function is measured, modeled, and understood. Toward that end, our research is building the foundations for next-generation connectomics, grounded in biologically realistic dynamic models of large-scale brain organization.

Research Philosophy

CNRLab develops computational and neuroimaging methodologies for the study of functional connectivity, brain dynamics, and large-scale brain organization. Our research views the brain as a dynamic distributed system whose functional architecture emerges through interactions among neural circuits across time and scale. To investigate these processes, we combine dynamic systems approaches, multimodal neuroimaging, and neurocomputational modeling to develop biologically realistic frameworks for measuring and understanding those interactions, and ultimately human brain function (see Research to learn more about CNRLab’s main research lines). 

A central aspect of our work is the recognition that analytical methods and representational frameworks strongly influence the forms of brain organization that can be observed, interpreted, and ultimately theorized. CNRLab therefore approaches methodological development not only as a technical problem, but also as a conceptual one, carefully considering how the assumptions embedded in neuroimaging analyses shape our understanding of large-scale brain function.

Scientific Community & Education

CNRLab is embedded in an international scientific network spanning clinical, cognitive, and computational neuroscience, including collaborations and educational activities with institutions such as Massachusetts General Hospital, Harvard Medical School, MIT, and Boston University. Its research has contributed to a broad body of collaborative work across the field, with methodological developments adopted in thousands of publications and applied across diverse areas of human neuroscience.

Through the annual functional connectivity workshop and invited teaching activities (see Training), CNRLab also contributes to advanced training in computational neuroimaging. These educational programs have trained hundreds of researchers from institutions around the world, supporting the dissemination of rigorous and reproducible methods for functional connectivity and connectomics research.

Scientific Infrastructure

CNRLab develops open scientific infrastructure to formalize, implement, and disseminate methodological advances in computational neuroimaging, brain dynamics, and connectomics. This includes the CONN functional connectivity toolbox (see Tools), widely used by the international neuroscience community for large-scale analyses of brain function across research and clinical applications, and contributing to the standardization and reproducibility of functional connectivity analyses across the field.