期刊
BRAIN CONNECTIVITY
卷 3, 期 2, 页码 121-145出版社
MARY ANN LIEBERT, INC
DOI: 10.1089/brain.2012.0120
关键词
brain connectivity; brain model; brain networks; modeling; space-time structure
资金
- James S. McDonnell Foundation [JSMF22002082]
- German Ministry of Education and Research (Bernstein Focus State Dependencies of Learning) [01GQ0971]
- Max-Planck Society (Minerva Program)
Brain function is thought to emerge from the interactions among neuronal populations. Apart from traditional efforts to reproduce brain dynamics from the micro-to macroscopic scales, complementary approaches develop phenomenological models of lower complexity. Such macroscopic models typically generate only a few selected-ideally functionally relevant-aspects of the brain dynamics. Importantly, they often allow an understanding of the underlying mechanisms beyond computational reproduction. Adding detail to these models will widen their ability to reproduce a broader range of dynamic features of the brain. For instance, such models allow for the exploration of consequences of focal and distributed pathological changes in the system, enabling us to identify and develop approaches to counteract those unfavorable processes. Toward this end, The Virtual Brain (TVB) (www.thevirtualbrain.org), a neuroinformatics platform with a brain simulator that incorporates a range of neuronal models and dynamics at its core, has been developed. This integrated framework allows the model-based simulation, analysis, and inference of neurophysiological mechanisms over several brain scales that underlie the generation of macroscopic neuroimaging signals. In this article, we describe how TVB works, and we present the first proof of concept.
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