Journal Article FZJ-2021-04467

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Global organization of neuronal activity only requires unstructured local connectivity

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2022
eLife Sciences Publications Cambridge

eLife 11, e68422 () [10.7554/eLife.68422]

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Abstract: Modern electrophysiological recordings simultaneously capture single-unit spiking activities of hundreds of neurons spread across large cortical distances. Yet, this parallel activity is often confined to relatively low-dimensional manifolds. This implies strong coordination also among neurons that are most likely not even connected. Here, we combine in vivo recordings with network models and theory to characterize the nature of mesoscopic coordination patterns in macaque motor cortex and to expose their origin: We find that heterogeneity in local connectivity supports network states with complex long-range cooperation between neurons that arises from multi-synaptic, short-range connections. Our theory explains the experimentally observed spatial organization of covariances in resting state recordings as well as the behaviorally related modulation of covariance patterns during a reach-to-grasp task. The ubiquity of heterogeneity in local cortical circuits suggests that the brain uses the described mechanism to flexibly adapt neuronal coordination to momentary demands.

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Contributing Institute(s):
  1. Computational and Systems Neuroscience (INM-6)
  2. Theoretical Neuroscience (IAS-6)
  3. Jara-Institut Brain structure-function relationships (INM-10)
Research Program(s):
  1. 5231 - Neuroscientific Foundations (POF4-523) (POF4-523)
  2. 5232 - Computational Principles (POF4-523) (POF4-523)
  3. MSNN - Theory of multi-scale neuronal networks (HGF-SMHB-2014-2018) (HGF-SMHB-2014-2018)
  4. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
  5. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
  6. GRK 2416 - GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration (368482240) (368482240)

Appears in the scientific report 2022
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Document types > Articles > Journal Article
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Institute Collections > IAS > IAS-6
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 Record created 2021-11-23, last modified 2024-03-13