{"id":12585,"date":"2026-09-28T14:46:14","date_gmt":"2026-09-28T12:46:14","guid":{"rendered":"https:\/\/computaex.es\/publicaciones\/spiking-neuron-astrocyte-networks-for-image-recognition\/"},"modified":"2026-09-28T14:46:14","modified_gmt":"2026-09-28T12:46:14","slug":"spiking-neuron-astrocyte-networks-for-image-recognition","status":"publish","type":"page","link":"https:\/\/computaex.es\/en\/publicaciones\/spiking-neuron-astrocyte-networks-for-image-recognition\/","title":{"rendered":"Spiking Neuron-Astrocyte Networks for Image Recognition"},"content":{"rendered":"<p><strong>Abstract:<\/strong><\/p>\n<p>From biological and artificial network perspectives, researchers have started acknowledging astrocytes as computational units mediating neural processes. Here, we propose a novel biologically inspired neuron-astrocyte network model for image recognition, one of the first attempts at implementing astrocytes in spiking neuron networks (SNNs) using a standard data set. The architecture for image recognition has three primary units: the preprocessing unit for converting the image pixels into spiking patterns, the neuron-astrocyte network forming bipartite (neural connections) and tripartite synapses (neural and astrocytic connections), and the classifier unit. In the astrocyte-mediated SNNs, an astrocyte integrates neural signals following the simplified Postnov model. It then modulates the integrate-and-fire (IF) neurons via gliotransmission, thereby strengthening the synaptic connections of the neurons within the astrocytic territory. We develop an architecture derived from a baseline SNN model for unsupervised digit classification. The spiking neuron-astrocyte networks (SNANs) display better network performance with an optimal variance-bias trade-off than SNN alone. We demonstrate that astrocytes promote faster learning, support memory formation and recognition, and provide a simplified network architecture. Our proposed SNAN can serve as a benchmark for future researchers on astrocyte implementation in artificial networks, particularly in neuromorphic systems, for its simplified design.<\/p>\n<p><strong>Autores:<\/strong> Jhunlyn Lorenzo, Juan\u2010Antonio Rico\u2010Gallego, S. Binczak, Sabir Jacquir<\/p>\n<p><strong>Publicaci\u00f3n \/ Evento:<\/strong> Neural Computation<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1162\/neco_a_01740\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1162\/neco_a_01740<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>From biological and artificial network perspectives, researchers have started acknowledging astrocytes as computational units mediating neural processes. Here, we propose a novel biologically inspired neuron-astrocyte network model for image recognition, one of the first attempts at implementing astrocytes in spiking neuron networks (SNNs) using a standard data set. The architecture for image recognition has three primary units: the preprocessing unit for converting the image pixels into spiking patterns, the neuron-astrocyte network forming bipartite (neural connections) and tripartite synapses (neural and\u2026<\/p>","protected":false},"author":1,"featured_media":0,"parent":1583,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[116,91],"tags":[],"class_list":["post-12585","page","type-page","status-publish","hentry","category-2025-publicaciones","category-publicaciones"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Spiking Neuron-Astrocyte Networks for Image Recognition - Fundaci\u00f3n COMPUTAEX<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/computaex.es\/en\/publicaciones\/spiking-neuron-astrocyte-networks-for-image-recognition\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Spiking Neuron-Astrocyte Networks for Image Recognition - Fundaci\u00f3n COMPUTAEX\" \/>\n<meta property=\"og:description\" content=\"From biological and artificial network perspectives, researchers have started acknowledging astrocytes as computational units mediating neural processes. Here, we propose a novel biologically inspired neuron-astrocyte network model for image recognition, one of the first attempts at implementing astrocytes in spiking neuron networks (SNNs) using a standard data set. 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