Perspective on applications of a stochastic spiking neuron model to neural network modeling (2016)
Fonte: Abstracts. Nome do evento: Neuromat Workshop on High-Performance Computing, Stochastic Modeling and Databases in Neuroscience. Unidades: FFCLRP, IME
Assuntos: NEUROCIÊNCIAS, SINAPSE, MODELOS PARA PROCESSOS ESTOCÁSTICOS
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: 29 ago. 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=ssslideviewNLM
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 ago. 29 ] Available from: https://pt.slideshare.net/neuromathematics?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideviewVancouver
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 ago. 29 ] Available from: https://pt.slideshare.net/neuromathematics?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideview