Effects of packetization on communication dynamics in brain networks
Makoto Fukushima1, Kenji Leibnitz2,3
1Graduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima, Japan.
Network Neuroscience (Cambridge, Mass.)
|July 2, 2024
Summary
Packet switching in brain networks with hubs speeds up communication for plausible strategies, unlike random walks or shortest paths. This offers new insights into modeling brain network dynamics.
Area of Science:
- Network neuroscience
- Computational neuroscience
- Systems neuroscience
Background:
- Computational models in network neuroscience simulate brain communication dynamics to understand structure-function relationships.
- Cortical signal transmission is often modeled using random walks or shortest path routing.
- Brain network communication can be analogized to engineered systems like message switching and packet switching.
Purpose of the Study:
- To investigate the relationship between propagation strategies and switching architectures in brain network communication models.
- To examine the impact of packet switching versus message switching on signal transmission completion times in mammalian brain networks.
Main Methods:
- Simulated signal propagation in mammalian brain networks.
- Compared transmission completion times for different propagation strategies (random walk, shortest path, and other plausible strategies) under packet-switched and message-switched conditions.
- Analyzed the effects of packetization in connectomes with hubs.
Main Results:
- Packetization increased transmission time for the random walk strategy.
- Packetization did not alter transmission time for the shortest path strategy.
- Packetization decreased transmission time for more plausible brain network communication strategies that balance speed and information needs.
Conclusions:
- Packet-switched communication demonstrates an advantage in the connectome, particularly for strategies balancing communication speed and information requirements.
- Findings provide new insights into modeling communication dynamics within brain networks.
- Suggests packet switching as a potentially more suitable model for certain brain communication processes.
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