Multi-Stability and Pattern-Selection in Oscillatory Networks
Author Information
Author(s): Bem Tiaza, Meyrand Pierre, Branchereau Pascal, Hallam John
Primary Institution: Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland
Hypothesis
Can oscillatory networks with fast inhibition and electrical synapses exhibit multiple stable activity patterns and switch between them in response to transient signals?
Conclusion
The study demonstrates that oscillatory networks can express various stable activity patterns and switch between them based on the timing and type of external stimuli.
Supporting Evidence
- The study shows that networks of different sizes can exhibit similar switching behaviors.
- Transient signals can induce switching between stable activity patterns in the network.
- Different stable patterns can coexist in the same network without changing its structure.
Takeaway
This study shows that groups of brain cells can change their activity patterns based on signals they receive, kind of like how a team can change their strategy during a game.
Methodology
The study used numerical simulations of neural networks composed of relaxation oscillators to investigate switching between in-phase and anti-phase activity patterns.
Limitations
The study primarily focuses on specific network architectures and may not generalize to all types of neural networks.
Digital Object Identifier (DOI)
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