The impact of reciprocal links on learning performance of critical neural networks

Xin-Yue Chen, Lei Tao, Sheng-Jun Wang and Zi-Gang Huang

Physica A: Statistical Mechanics and its Applications, 2025, vol. 675, issue C

Abstract: Topological features significantly influence a network’s behavior and functional performance, particularly in terms of information transmission efficiency, learning, adaptation, and resource utilization. This paper focuses on the impact of network connectivity, specifically the role of reciprocal links, on the ability of neural networks in critical states to learn Boolean rules. Notably, the prevalence of reciprocal links in the cerebral cortex suggests that they play an important role in information processing. Our findings demonstrate that reciprocal links markedly enhance learning performance. As the backbone structure of the network becomes more complex with the addition of reciprocal links, there is an increase in alternative paths. This, in turn, facilitates more efficient signal transmission from input to output sites, ultimately leading to a higher learning success rate. Reciprocal links not only optimize information transmission pathways but also diminish the influence of irrelevant neurons, thus enhancing resource utilization efficiency.

Keywords: Reciprocal links; Critical state; Learning performance; Logical rule (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437125004364
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:675:y:2025:i:c:s0378437125004364

DOI: 10.1016/j.physa.2025.130784

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().