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AstN-Net: Rethinking neural connections with astrocyte-driven perspective

delete2026-08-05
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PRE
AI
韩孟桥 cover
韩孟桥 (Mengqiao Han) *
张红明 (Hongming Zhang) *
Z
Zhaoyang Hai
G
Guanxiu Yi
S
Said Boumaraf
Y
Yunlong Li
DOI:10.1016/j.patcog.2026.114537delete
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Abstract

Abstract

En 中文
• Astrocyte-driven neuron model with global integration and bidirectional modulation. • AstN-Net dynamically modulates weights via astrocyte network for structural adaptation. • Alternating training extracts compact sub-networks without extra fine-tuning. • Achieves superior accuracy and efficiency across CNNs, Transformers, and vision tasks.
Keywords:
Neural network
Network structure learning
Astrocyte-driven neuron model
Adaptive modulation of neural connections

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

A
Arab Open University
Scholars:
36
Papers: 31
Citations: 17
B
beijing institute of technology
Scholars:
5.3W
Papers: 3.9W
Citations: 63
S
state grid corporation of china
Scholars:
1.8K
Papers: 646
Citations: 0
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