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Updated: Jul 29, 2025
10:10
Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes
Published on: October 4, 2018
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Information Encoding in Bursting Spiking Neural Network Modulated by Astrocytes
Sergey V Stasenko1, Victor B Kazantsev1
1Laboratory of Advanced Methods for High-Dimensional Data Analysis, Lobachevsky State University of Nizhny Novgorod, 603022 Nizhny Novgorod, Russia.
Entropy (Basel, Switzerland)
|May 27, 2023
Summary
Astrocytes regulate spiking neural networks (SNNs), preventing hyperexcitation and preserving image information represented by spatiotemporal patterns. This homeostatic mechanism is crucial for neural activity regulation and sensory cortical representations.
Area of Science:
- Computational neuroscience
- Astrophysics
- Neuroscience
Background:
- Spiking neural networks (SNNs) model neural information processing.
- Astrocytes modulate synaptic transmission.
- Maintaining excitation-inhibition balance is crucial for neural network stability.
Purpose of the Study:
- To investigate how astrocytes regulate information representation in SNNs.
- To analyze the role of astrocytic modulation in preventing network hyperexcitation.
- To understand the impact of astrocytes on spatiotemporal pattern formation in SNNs.
Main Methods:
- Developed a mathematical model of an SNN with interacting astrocytes.
- Represented 2D images as spatiotemporal spiking patterns.
- Simulated image input as excitatory stimulation pulses.
- Analyzed network activity and information restoration.
Main Results:
- Astrocytic modulation prevented SNN hyperexcitation and non-periodic bursting.
- Homeostatic astrocytic regulation restored image information lost in raster plots.
- Astrocytes act as an adaptive mechanism for regulating neural activity.
Conclusions:
- Astrocytes play a vital role in stabilizing SNNs and preserving information.
- Astrocytic regulation is essential for accurate sensory cortical representations.
- The model highlights astrocytes as key regulators of neural network function.
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