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Integrative neuroscience is the study of neuroscience that works to unify functional organization data to better understand complex structures and behaviors.[1] The relationship between structure and function, and how the regions and functions connect to each other. Different parts of the brain carrying out different tasks, interconnecting to come together allowing complex behavior.[2] Integrative neuroscience works to fill gaps in knowledge that can largely be accomplished with data sharing, to create understanding of systems, currently being applied to simulation neuroscience: Computer Modeling of the brain that integrates functional groups together.[3][1]
- ^ a b Integrative neuroscience : bringing together biological, psychological and clinical models of the human brain. Gordon, Evian. Amsterdam: Harwood Academic Publishers. 2000. ISBN 9780203304761. OCLC 567985508.
{{cite book}}: CS1 maint: others (link) - ^ Kotchoubey, Boris; Tretter, Felix; Braun, Hans A.; Buchheim, Thomas; Draguhn, Andreas; Fuchs, Thomas; Hasler, Felix; Hastedt, Heiner; Hinterberger, Thilo; Northoff, Georg; Rentschler, Ingo (2016). "Methodological Problems on the Way to Integrative Human Neuroscience". Frontiers in Integrative Neuroscience. 10: 41. doi:10.3389/fnint.2016.00041. ISSN 1662-5145. PMC 5126073. PMID 27965548.
- ^ Fan, Xue; Markram, Henry (2019-05-07). "A Brief History of Simulation Neuroscience". Frontiers in Neuroinformatics. 13: 32. doi:10.3389/fninf.2019.00032. ISSN 1662-5196. PMC 6513977. PMID 31133838.