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The influence of synaptic pathways on the synchronization patterns of regularly structured mChialvo map network
Sridevi Sriram1, Simin Mirzaei2, Mahtab Mehrabbeik2
1Centre for Computational Modelling, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India.
Journal of Theoretical Biology
|August 5, 2023
Summary
Chemical synapses effectively synchronize memristive Chialvo (mChialvo) neurons, even with weak coupling. This research explores various synchronization patterns in neuronal networks, advancing neuroscience understanding.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Complex Systems
Background:
- Neuronal synchronization is crucial for biological processes and a key research area in neuroscience.
- Understanding synchronization mechanisms in neuronal networks is essential for deciphering brain function.
Purpose of the Study:
- To investigate the impact of different coupling functions (electrical, inner-linking, chemical, hybrid) on neuronal synchronization.
- To analyze synchronization states in a neuronal network using the memristive Chialvo (mChialvo) neuron map.
Main Methods:
- Master stability function (MSF) analysis to determine synchronization conditions.
- Bifurcation analysis to study the dynamics of synchronous neurons.
- Calculation of synchronization error for validation.
Main Results:
- Chemical synapses significantly facilitate mChialvo neuron synchronization compared to electrical and inner-linking functions.
- Neurons achieve synchrony with minimal chemical coupling strength.
- Coupled mChialvo neurons exhibit diverse synchronization patterns, including cluster, chimera, sine-like, phase, and cluster phase synchronization.
Conclusions:
- Chemical coupling is a highly effective mechanism for synchronizing mChialvo neurons.
- The study reveals complex synchronization behaviors in neuronal networks, offering insights into neural dynamics.
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