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News

Undergraduates Learn About Marine Bioluminescence at Recent Practicum

In March 2019, the NeuroNex Technology Hub at Brown University hosted 13 undergraduates from colleges and universities across the United States and Canada as part of its annual Marine Bioluminescence Practicum at the Marine Biological Laboratory in Woods Hole, Massachusetts.

NeuroNex Investigator Elected to National Academy of Sciences

Ed Callaway, Vincent J. Coates Chair and Professor at the Salk Institute for Biological Studies in La Jolla, California, was recently elected to membership in the National Academy of Sciences for his outstanding contributions to research.

NSF Provides New Funding Opportunities for Neuroscience

The NeuroNex Webinar discussed the goals and scope of the program, application requirements, review criteria, the decision process, and general guidelines from the foreign partner agencies.

Bioluminescence researchers study neuronal activity, promote education

A team of University researchers received funding from the National Science Foundation in August 2017 to develop bioluminescent tools that can be used to enhance methods of studying the brain.

NeuroNex Teams Develop Theories to Advance Neuroscience Research

As the field of neuroscience advances, researchers must develop theories to navigate the data that are the result of this progress and develop conceptual frameworks to make sense of it all. NSF’s NeuroNex program is a response to this ever-growing need.

New Tool Shows Brain Activity of Mice in Action

For the first time, researchers at The Rockefeller University have managed to study how brain cells in mice interact as the animals move about freely in their environment. The findings through this method could someday allow us to better understand brain disorders.

UCLA Develops Open-Source Mini Microscope

Neuroscience labs around the world are using the freely available information to build their own miniscopes.

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Community Collaborates to Build Largest Brain Data Repository

Big imaging data are often difficult to store and analyze. In fact, such data that can run into terabytes per day, simply can’t be stored or accessed on a laptop or workstation. As a result, labs across the world are forced to build their own software stack, which comes with its own challenges.

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