Synchronization in scale-free neural networks under electromagnetic radiation

Area of Science:

• Neuroscience
• Complex Systems
• Computational Biology

Background:

• Human brain functional networks possess scale-free topology.
• Neural networks are susceptible to external electromagnetic environments.

Purpose of the Study:

• Investigate the impact of magnetic induction on synchronous activity in scale-free biological neural networks.
• Evaluate magnetic effects using a four-stable discrete memristor model.

Main Methods:

• Developed a scale-free neural network model based on Rulkov neurons.
• Employed numerical simulations with initial values and magnetic induction strength as control variables.

Main Results:

• Observed diverse behaviors including resting state, period-1 bursting synchronization, asynchrony, and chimera states, dependent on memristor initial values.
• Found that magnetic induction strength can modulate synchronization in the scale-free network, influenced by Rulkov neuron parameters.

Conclusions:

• Magnetic induction significantly influences the dynamics of scale-free neural networks.
• This research provides insights into how organisms adapt to electromagnetic environmental changes.