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Related Experiment Video

Updated: Nov 29, 2025

Inducing Plasticity of Astrocytic Receptors by Manipulation of Neuronal Firing Rates

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Published on: March 20, 2014

Spiking Neural P Systems with Astrocytes Producing Calcium.

Bogdan Aman^1,2, Gabriel Ciobanu²

¹Institute of Computer Science, Romanian Academy, Iaşi, Romania.

International Journal of Neural Systems

|November 20, 2020

Summary

This summary is machine-generated.

This study introduces spiking neural P systems with astrocytes, enhancing neuron communication via calcium ions. These novel systems are proven to be Turing universal for computation.

Keywords:

Spiking neural P systems astrocyte computational power normal forms

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Area of Science:

Computational Biology
Neuroscience
Theoretical Computer Science

Background:

Astrocytes play a crucial role in neuronal function by regulating calcium ions.
The bidirectional communication between astrocytes and neurons via calcium is key to neural networks.
Existing spiking neural P systems lack astrocyte-neuron calcium signaling dynamics.

Purpose of the Study:

To introduce and define a new variant of spiking neural P systems incorporating astrocytes that produce calcium.
To model the influence of astrocyte-produced calcium on neuron firing rules.
To investigate the computational power of this new model.

Main Methods:

Defining spiking neural P systems with astrocytes producing calcium.
Representing the system's topological structure as a directed graph with specific synaptic connections.
Analyzing the computational universality of the proposed systems.

Main Results:

The firing condition in the new system depends on both neuron spikes and astrocyte-derived calcium.
The systems are shown to be Turing universal as number generating and accepting devices.
Normal forms are obtained by removing forgetting rules and delays without losing computational power.

Conclusions:

Spiking neural P systems with astrocytes offer a more biologically plausible model for neural computation.
The proposed model demonstrates significant computational power, achieving Turing universality.
The research provides insights into formalizing astrocyte-neuron interactions in computational models.