Rethinking density ratio estimation based hyper-parameter optimization DOI

Zi-En Fan,

Feng Lian,

Xinran Li

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 182, P. 106917 - 106917

Published: Nov. 20, 2024

Language: Английский

Evolutionary spiking neural networks: a survey DOI
Shuaijie Shen, Rui Zhang, Chao Wang

et al.

Journal of Membrane Computing, Journal Year: 2024, Volume and Issue: unknown

Published: June 17, 2024

Language: Английский

Citations

4
Training multi-bit Spiking Neural Network with Virtual Neurons DOI
Haoran Xu, Zonghua Gu, Ruimin Sun

et al.

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 129825 - 129825

Published: March 1, 2025

Language: Английский

Citations

0
Adaptive metagraph neural network assisted by metagraph search for financial fraud detection DOI
Guoxiang Tong,

Junjie Qian,

Jieyu Shen

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 153, P. 110807 - 110807

Published: April 28, 2025

Language: Английский

Citations

0
Real-time hardware emulation of neural cultures: A comparative study of in vitro, in silico and in duris silico models DOI Creative Commons
Bernardo Vallejo-Mancero, Sergio Faci-Lázaro, Mireya Zapata

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 179, P. 106593 - 106593

Published: Aug. 5, 2024

Biological neural networks are well known for their capacity to process information with extremely low power consumption. Fields such as Artificial Intelligence, high computational costs, seeking alternatives inspired in biological systems. An inspiring alternative is implement hardware architectures that replicate the behavior of neurons but flexibility programming capabilities an electronic device, all combined a relatively operational cost. To advance this quest, here we analyze HEENS architecture operate similar manner vitro neuronal network grown laboratory. For that, considered data spontaneous activity living cultures about 400 and compared collective dynamics functional those obtained from direct numerical simulations (in silico) implementations duris silico). The results show capable mimic both silico systems efficient-cost ratio, on different topological designs. Our work shows compact low-cost feasible, opening new avenues future, highly efficient neuromorphic devices advanced human-machine interfacing.

Language: Английский

Citations

1
A Novel Automatic Generation Method for Neural Network by Using Iterative Function System DOI
Ming Wang,

Lingchen Zuo,

Yanling Gong

et al.

Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 146 - 157

Published: Sept. 21, 2024

Language: Английский

Citations

0
Tipping prediction of a class of large-scale radial-ring neural networks DOI
Yunxiang Lu, Min Xiao, Xiaoqun Wu

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 181, P. 106820 - 106820

Published: Oct. 16, 2024

Language: Английский

Citations

0
Rethinking density ratio estimation based hyper-parameter optimization DOI

Zi-En Fan,

Feng Lian,

Xinran Li

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 182, P. 106917 - 106917

Published: Nov. 20, 2024

Language: Английский

Citations

0