Dynamic image recognition in a spiking neuron network supplied by astrocytes

TL;DR

This paper presents a mathematical model of a spiking neuron network influenced by astrocytes, showing that astrocytes can enhance dynamic image recognition and suppress noise effects in neural processing.

Contribution

It introduces a novel model of astrocyte influence on SNNs, demonstrating improved image recognition and noise suppression capabilities.

Findings

Astrocytes significantly improve image recognition in SNNs.

Activation of astrocytes suppresses noise in neural signals.

Astrocytic modulation enhances dynamic image representation.

Abstract

Mathematical model of spiking neuron network (SNN) supplied by astrocytes is investigated. The astrocytes are specific type of brain cells which are not electrically excitable but inducing chemical modulations of neuronal firing. We analyzed how the astrocytes influence on images encoded in the form of dynamic spiking pattern of the SNN. Serving at much slower time scale the astrocytic network interacting with the spiking neurons can remarkably enhance the image recognition quality. Spiking dynamics was affected by noise distorting the information image. We demonstrated that the activation of astrocyte can significantly suppress noise influence improving dynamic image representation by the SNN.