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Computational Neuroscience

New Issue of the IBM Journal of Research and Development


Journal of R&D: Computational NeuroscienceUnderstanding the brain’s dynamics is of central importance to neuroscience. Our ability to observe, model, and infer from neuroscientific data the principles and mechanisms of brain dynamics determines our ability to understand the brain’s unusual cognitive and behavioral capabilities. Our guest editors, James Kozloski, manager of Computational Neuroscience and Multiscale Brain Modeling, and Guillermo Cecchi, manager of Computational Psychiatry and Neuroimaging, note that in the near term, analysis and prediction of changes to these dynamics, observed in vast new data sets and rendered in large-scale simulations, are beginning to facilitate applications in important societal areas such as assistive technology, education, and the treatment of disease.

The rapid increase in new data related to brain and neural tissue dynamics and development motivates this special issue of the IBM Journal of Research and Development, which emphasizes new solutions, models, capabilities, and other technologies that advance the analysis of neuroscientific data and the application of predictive models to anticipate changes in, or better understand, brain function, cognition, and behavior.  Topics include computational psychiatry, the prediction of cognitive states, functional magnetic resonance imaging, understanding neurodegenerative disease, developing neural prosthetics and brain interfaces, studies of neuromorphic computing, neuronal models, and much more.

Interested readers may visit the IBM Journal website for a sampling of recent issues, all available in the IEEE Xplore Digital Library.

Clifford A. Pickover
IBM Journal of Research and Development


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Editor-in-Chief, IBM Journal of Research and Development

Cliff Pickover

Editor-in-Chief, IBM Journal of Research and Development