Artificial glial cells in artificial neuronal networks: a systematic review
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Artificial glial cells in artificial neuronal networks: a systematic reviewDate
2023-11Citation
Alvarez-Gonzalez, S., Cedron, F., Pazos, A. et al. Artificial glial cells in artificial neuronal networks: a systematic review. Artif Intell Rev 56 (Suppl 2), 2651-2666 (2023). https://doi.org/10.1007/s10462-023-10586-1
Abstract
[Abstract]: The concept of tripartite synapses has revolutionized the world of neuroscience and the way we understand how information is transmitted in the brain. Since its discovery, some research groups have incorporated into connectionist systems classically focused on the development of Artificial Neuron Networks (ANNs) as a single element, artificial astrocytes that try to optimize performance in problem solving.In this systematic review, we searched the ISI Web of Science for papers that focused on the development of such novel models and their comparison with classical ANNs. A total of 22 papers that satisfied the inclusion criteria were analyzed, showing three different ways of applying the neuromodulatory influence of artificial astrocytes on neural networks. Using Multilayer Perceptron Networks, Artificial Neuro-Glial Newtworks and Multilayer Perceptron with Self-Organizing Maps approaches, a detailed analysis of the incorporation of artificial astrocytic networks has been carried out, and the main differences between the different methods have been weighed up. Regardless of the type of inclusion performed, the greater the complexity of the problem to be solved, it has been observed that the influence of artificial astrocytes has improved the performance of classical ANNs, as occurs in the biological brain.
Keywords
Artificial astrocytes
Artificial neural networks
Conexionism
Glial cells
Systematic review
Tripartite synapse
Artificial neural networks
Conexionism
Glial cells
Systematic review
Tripartite synapse
Description
Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. The online version contains supplementary material available at https://doi.org/10.1007/s10462-023-10586-1. The public Git repository with the search methodology followed to retrieve the publications found in Supplementary 1 can be found at: https://github.com/saraalgo/Glial_ANN_review.
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Atribución 3.0 España
ISSN
0269-2821