A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROQUE, Antônio Carlos et al. Perspective on applications of a stochastic spiking neuron model to neural network modeling. 2016, Anais.. São Paulo: USP, 2016. Disponível em: https://pt.slideshare.net/neuromathematics?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideview. Acesso em: 15 out. 2024.
APA
Roque, A. C., Brochini, L., Costa, A., Cordeiro, V., Shimoura, R., Abadi, M. N., et al. (2016). Perspective on applications of a stochastic spiking neuron model to neural network modeling. In Abstracts. São Paulo: USP. Recuperado de https://pt.slideshare.net/neuromathematics?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideview
NLM
Roque AC, Brochini L, Costa A, Cordeiro V, Shimoura R, Abadi MN, Kinouchi O, Stolfi J. Perspective on applications of a stochastic spiking neuron model to neural network modeling [Internet]. Abstracts. 2016 ;[citado 2024 out. 15 ] Available from: https://pt.slideshare.net/neuromathematics?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideview
Vancouver
Roque AC, Brochini L, Costa A, Cordeiro V, Shimoura R, Abadi MN, Kinouchi O, Stolfi J. Perspective on applications of a stochastic spiking neuron model to neural network modeling [Internet]. Abstracts. 2016 ;[citado 2024 out. 15 ] Available from: https://pt.slideshare.net/neuromathematics?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideview
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROQUE, Antônio Carlos et al. Applications of a stochastic spiking neuron model to neural network modeling. 2016, Anais.. São Paulo: USP, 2016. . Acesso em: 15 out. 2024.
APA
Roque, A. C., Brochini, L., Costa, A., Cordeiro, V., Shimoura, R., Kamiji, N., et al. (2016). Applications of a stochastic spiking neuron model to neural network modeling. In Abstracts. São Paulo: USP.
NLM
Roque AC, Brochini L, Costa A, Cordeiro V, Shimoura R, Kamiji N, Kinouchi O, Stolfi J, Brasil. Applications of a stochastic spiking neuron model to neural network modeling. Abstracts. 2016 ;[citado 2024 out. 15 ]
Vancouver
Roque AC, Brochini L, Costa A, Cordeiro V, Shimoura R, Kamiji N, Kinouchi O, Stolfi J, Brasil. Applications of a stochastic spiking neuron model to neural network modeling. Abstracts. 2016 ;[citado 2024 out. 15 ]
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DEMÉTRIO, Clarice Garcia Borges e MAIA, Rafael Pimentel e LABOURIAU, Rodrigo S. A competing risk model for discrete time with masked causes and gaussian random components. 2015, Anais.. Cappadocia: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, 2015. . Acesso em: 15 out. 2024.
APA
Demétrio, C. G. B., Maia, R. P., & Labouriau, R. S. (2015). A competing risk model for discrete time with masked causes and gaussian random components. In Abstracts. Cappadocia: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo.
NLM
Demétrio CGB, Maia RP, Labouriau RS. A competing risk model for discrete time with masked causes and gaussian random components. Abstracts. 2015 ;[citado 2024 out. 15 ]
Vancouver
Demétrio CGB, Maia RP, Labouriau RS. A competing risk model for discrete time with masked causes and gaussian random components. Abstracts. 2015 ;[citado 2024 out. 15 ]