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Editorial
. 2024 Nov 6:4:1487298.
doi: 10.3389/fsysb.2024.1487298. eCollection 2024.

Bridging complexity through integrative systems neuroscience

Eric H Chang  1   2   3
Affiliations
Editorial

Bridging complexity through integrative systems neuroscience

Eric H Chang. Front Syst Biol. .
No abstract available

Keywords: computational modeling; connectome; emergent properties; multidisciplinary approaches; multiscale; omic analysis; systems neuroscience.

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Conflict of interest statement

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Figures

FIGURE 1
FIGURE 1
Spatial scale of nervous systems. (A) Nervous systems span many spatial scales, from molecules at the sub-micron level to whole-brain networks that span centimeters or more. (B) Each level of the nervous system requires distinct imaging and recording modalities to measure its relevant neural activity, presenting challenges to integration across modalities.
FIGURE 2
FIGURE 2
Different types of nervous systems. Among invertebrates, simple diffuse nerve nets in Hydra have connected neurons that span the organism’s body with no signs of centralization. Insects, such as earthworms and flies, have a brain and nerve cord with distributed ganglia. Amongst vertebrates, nervous systems (only brains are shown for simplicity) tend to be more centralized, complex, and specialized. As species evolved, more neurons were devoted to the neocortex to subserve higher-order processes. Notably, the human brain does not have the most number of neurons, as the brains of dolphins and whales actually have a higher amount.
See this image and copyright information in PMC

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