Source: Journal of Neuroscience Methods. Unidades: FFCLRP, FMRP
Subjects: EPILEPSIA, SONO, AMÍGDALA DO CEREBELO
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ROMCY-PEREIRA, Rodrigo N. et al. A semi-automated algorithm for studying neuronal oscillatory patterns: a wavelet-based time frequency and coherence analysis. Journal of Neuroscience Methods, v. 167, n. 2, p. 384-392, 2008Tradução . . Disponível em: https://doi.org/10.1016/j.jneumeth.2007.08.027. Acesso em: 11 jul. 2024.APA
Romcy-Pereira, R. N., Araújo, D. B. de, Leite, J. P., & Garcia-Cairasco, N. (2008). A semi-automated algorithm for studying neuronal oscillatory patterns: a wavelet-based time frequency and coherence analysis. Journal of Neuroscience Methods, 167( 2), 384-392. doi:10.1016/j.jneumeth.2007.08.027NLM
Romcy-Pereira RN, Araújo DB de, Leite JP, Garcia-Cairasco N. A semi-automated algorithm for studying neuronal oscillatory patterns: a wavelet-based time frequency and coherence analysis [Internet]. Journal of Neuroscience Methods. 2008 ; 167( 2): 384-392.[citado 2024 jul. 11 ] Available from: https://doi.org/10.1016/j.jneumeth.2007.08.027Vancouver
Romcy-Pereira RN, Araújo DB de, Leite JP, Garcia-Cairasco N. A semi-automated algorithm for studying neuronal oscillatory patterns: a wavelet-based time frequency and coherence analysis [Internet]. Journal of Neuroscience Methods. 2008 ; 167( 2): 384-392.[citado 2024 jul. 11 ] Available from: https://doi.org/10.1016/j.jneumeth.2007.08.027
