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Inducing Plasticity of Astrocytic Receptors by Manipulation of Neuronal Firing Rates
Published on: March 20, 2014
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Neurons and astrocytes interaction in neuronal network: A game-theoretic approach
Masoumeh Zareh1, Mohammad Hossein Manshaei1, Mehdi Adibi2
1Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran.
Journal of Theoretical Biology
|March 13, 2019
Summary
Neurons adjust synaptic strength based on environmental changes. This study models neuronal networks using game theory, revealing adaptable network behaviors and equilibria influenced by environmental conditions.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Game Theory
Background:
- Neurons, the fundamental units of the nervous system, communicate via synapses.
- Synaptic plasticity, the variation in synaptic strength, is crucial for learning and memory.
- Environmental factors can influence synaptic strength and neuronal communication.
Purpose of the Study:
- To model neuronal network behavior under varying environmental conditions.
- To investigate how pre- and post-synaptic neurons sense and adapt to environmental changes.
- To analyze synaptic link adjustments within a game theoretic framework.
Main Methods:
- Modeling an interconnected neuronal network as a multi-agent system.
- Utilizing a game theoretic framework to analyze network dynamics.
- Focusing on a CA1 lattice subfield as a representative plastic neuronal network.
Main Results:
- Neuronal networks converge to different equilibria based on environmental shifts.
- The developed model accurately predicts network behavior.
- Comparison with a theoretical model of individual neurons demonstrates predictive power.
Conclusions:
- Neuronal networks exhibit adaptive behaviors in response to environmental changes.
- Game theory provides a robust framework for understanding neuronal plasticity.
- Environmental influences on synaptic plasticity are quantifiable through network modeling.
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