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Structural constraints on the emergence of oscillations in multi-population neural networks.
- Source :
-
eLife . 3/13/2024, p1-30. 5p. - Publication Year :
- 2024
-
Abstract
- Oscillations arise in many real-world systems and are associated with both functional and dysfunctional states. Whether a network can oscillate can be estimated if we know the strength of interaction between nodes. But in real-world networks (in particular in biological networks) it is usually not possible to know the exact connection weights. Therefore, it is important to determine the structural properties of a network necessary to generate oscillations. Here, we provide a proof that uses dynamical system theory to prove that an odd number of inhibitory nodes and strong enough connections are necessary to generate oscillations in a single cycle threshold-linear network. We illustrate these analytical results in a biologically plausible network with either firing-rate based or spiking neurons. Our work provides structural properties necessary to generate oscillations in a network. We use this knowledge to reconcile recent experimental findings about oscillations in basal ganglia with classical findings. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 2050084X
- Database :
- Academic Search Index
- Journal :
- eLife
- Publication Type :
- Academic Journal
- Accession number :
- 176170462
- Full Text :
- https://doi.org/10.7554/eLife.88777