Stochastic resonance in excitable neuronal system with phase-noise (2012)
- Authors:
- Autor USP: LIANG, ZHAO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-642-31561-9
- Subjects: INTELIGÊNCIA ARTIFICIAL; COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; SISTEMAS DINÂMICOS
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Berlin
- Date published: 2012
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 7366, p. 304-310, 2012
- Conference titles: International Conference on Advances in Brain Inspired Cognitive Systems - BICS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
XIAOMING, Liang e LIANG, Zhao. Stochastic resonance in excitable neuronal system with phase-noise. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-31561-9. Acesso em: 20 jan. 2026. , 2012 -
APA
Xiaoming, L., & Liang, Z. (2012). Stochastic resonance in excitable neuronal system with phase-noise. Lecture Notes in Artificial Intelligence. Berlin: Springer-Verlag. doi:10.1007/978-3-642-31561-9 -
NLM
Xiaoming L, Liang Z. Stochastic resonance in excitable neuronal system with phase-noise [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7366 304-310.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/978-3-642-31561-9 -
Vancouver
Xiaoming L, Liang Z. Stochastic resonance in excitable neuronal system with phase-noise [Internet]. Lecture Notes in Artificial Intelligence. 2012 ; 7366 304-310.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/978-3-642-31561-9 - Traffic congestion on clustered random complex networks
- Pixel clustering by using complex network community detection technique
- Preventing error propagation in semi-supervised learning
- Handwritten digits recognition using a high level network-based approach
- Features of edge-centric collective dynamics in machine learning tasks
- Stochastic competitive learning in complex networks
- QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes
- Attack vulnerability of scale-free networks due to cascading breakdown
- Particle competition and cooperation in networks for semi-supervised learning
- Controlled consensus time for community detection in complex networks
Informações sobre o DOI: 10.1007/978-3-642-31561-9 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
