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Integrative neuroscience

Group 1: Overview of Integrative Neuroscience – Roots from Rashevsky-Rosen school of relational biology – Expanded by Chauvet introducing hierarchical and functional integration – Hierarchical […]

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Group 1: Overview of Integrative Neuroscience
– Roots from Rashevsky-Rosen school of relational biology
– Expanded by Chauvet introducing hierarchical and functional integration
– Hierarchical integration involves spatiotemporal dynamic continuity
– Functional integration requires topology beyond Euclidean space
– Aims for unified understanding of brain function across scale

Group 2: Motivation for Integrative Neuroscience
– Data specialization leads to little overlap
– Standardized integrated database enables new statistical models
– Framework links diverse specializations in neuroscience
– Addressing neglect of nervous system’s primary role
– Aims to understand brain function across various specializations

Group 3: Experimental Methods in Integrative Neuroscience
– Brain regions identified through correlation and causal methods
– Integration of data for comprehensive brain function understanding
– Various tools like fMRI and EEG used for brain research

Group 4: Correlation Methods in Neuroscience
– Relationship between brain and behavioral states studied
– Tools like fMRI and EEG used for spatial and temporal observation
– fMRI measures blood oxygen dependent response for brain activity
– EEG measures electrical brain activity over time
– Insights into brain function provided by correlation methods

Group 5: Causal Methods in Neuroscience
– Brain activity directly stimulated to observe specific region effects
– TMS uses magnetic field bursts to activate brain areas
– Lesion studies observe effects of brain damage on functionality
– Electrode stimulation maps brain regions to functions
– Insights into brain functionality and organization provided by causal methods

Integrative neuroscience (Wikipedia)

Integrative neuroscience is the study of neuroscience that works to unify functional organization data to better understand complex structures and behaviors. 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. 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.

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