Synchronization characteristics of functional neurons under energy control.

Area of Science:

• Neuroscience
• Physics
• Electrical Engineering

Background:

• Biological neurons utilize synapses to process external stimuli and generate firing patterns.
• Synaptic plasticity and rapid synapse generation are crucial for regulating neural activity.

Purpose of the Study:

• To investigate the synchronization characteristics of coupled neurons using magnetic-flux controlled memristors (MFCMs) as artificial synapses.
• To explore the role of energy dynamics in memristive coupling channels for regulating neural synchronization.

Main Methods:

• Connecting two functional neurons with MFCMs to create a coupled neuron system.
• Deriving coupled neuron equations using Kirchhoff's voltage law and calculating channel energy.
• Proposing an exponential growth criterion controlled by energy difference and analyzing energy evolution.

Main Results:

• Memristive coupling channels are adaptively controlled by energy difference.
• Enhanced synaptic coupling strength leads to complete synchronization in identical neurons.
• Phase locking is achieved between different neurons with enhanced synaptic coupling.

Conclusions:

• This research elucidates the mechanisms by which memristive synapses regulate coupled neurons.
• The study demonstrates how coupled neurons achieve potential energy balance through physical field perspectives.
• MFCMs offer a viable approach for creating artificial synaptic connections with tunable synchronization properties.