Phase-noise-induced resonance in arrays of coupled excitable neural models (2013)
- Authors:
- Autor USP: LIANG, ZHAO - ICMC
- Unidade: ICMC
- DOI: 10.1109/TNNLS.2013.2254126
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher place: Los Alamitos
- Date published: 2013
- Source:
- Título: IEEE Transactions on Neural Networks and Learning Systems
- ISSN: 2162-237X
- Volume/Número/Paginação/Ano: v. 24, n. 8, p. 1339-1345, ago. 2013
- Este artigo possui versão em acesso aberto
- URL de acesso aberto
- Versão do Documento: Versão submetida (Pré-print)
-
Status: Artigo possui versão em acesso aberto em repositório (Green Open Access) -
ABNT
XIAOMING, Liang e LIANG, Zhao. Phase-noise-induced resonance in arrays of coupled excitable neural models. IEEE Transactions on Neural Networks and Learning Systems, v. 24, n. 8, p. 1339-1345, 2013Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2013.2254126. Acesso em: 13 mar. 2026. -
APA
Xiaoming, L., & Liang, Z. (2013). Phase-noise-induced resonance in arrays of coupled excitable neural models. IEEE Transactions on Neural Networks and Learning Systems, 24( 8), 1339-1345. doi:10.1109/TNNLS.2013.2254126 -
NLM
Xiaoming L, Liang Z. Phase-noise-induced resonance in arrays of coupled excitable neural models [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( 8): 1339-1345.[citado 2026 mar. 13 ] Available from: https://doi.org/10.1109/TNNLS.2013.2254126 -
Vancouver
Xiaoming L, Liang Z. Phase-noise-induced resonance in arrays of coupled excitable neural models [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( 8): 1339-1345.[citado 2026 mar. 13 ] Available from: https://doi.org/10.1109/TNNLS.2013.2254126 - Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data
- Computer-aided music composition with LSTM neural network and chaotic inspiration
- Semi-supervised learning by edge domination in complex networks
- Dimensionality reduction with the k-associated optimal graph applied to image classification
- Bias-guided random walk for network-based data classification
- A review and comparative analysis of coarsening algorithms on bipartite networks
- Semi-supervised learning from imperfect data through particle cooperation and competition
- Chaotic phase synchronization and desynchronization in an oscillator network for object selection
- Random walk in feature-sample networks for semi-supervised classification
- Classificação de alto nível baseada em entropia da rede
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
