A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
International Conference on Nonlinear Science and Complexity - NSC, 6. . São José dos Campos: INPE. . Acesso em: 05 set. 2024. , 2016
APA
International Conference on Nonlinear Science and Complexity - NSC, 6. (2016). International Conference on Nonlinear Science and Complexity - NSC, 6. São José dos Campos: INPE.
NLM
International Conference on Nonlinear Science and Complexity - NSC, 6. 2016 ;[citado 2024 set. 05 ]
Vancouver
International Conference on Nonlinear Science and Complexity - NSC, 6. 2016 ;[citado 2024 set. 05 ]
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINHO, Marilene de et al. Shannon's entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning. Neurocomputing, v. 44-46, p. 359-364, 2002Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(02)00382-x. Acesso em: 05 set. 2024.
APA
Pinho, M. de, Mazza, M., Piqueira, J. R. C., & Roque, A. C. (2002). Shannon's entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning. Neurocomputing, 44-46, 359-364. doi:10.1016/s0925-2312(02)00382-x
NLM
Pinho M de, Mazza M, Piqueira JRC, Roque AC. Shannon's entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning [Internet]. Neurocomputing. 2002 ; 44-46 359-364.[citado 2024 set. 05 ] Available from: https://doi.org/10.1016/s0925-2312(02)00382-x
Vancouver
Pinho M de, Mazza M, Piqueira JRC, Roque AC. Shannon's entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning [Internet]. Neurocomputing. 2002 ; 44-46 359-364.[citado 2024 set. 05 ] Available from: https://doi.org/10.1016/s0925-2312(02)00382-x
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAZZA, Marcelo et al. Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system. Neurocomputing, v. 44-46, p. 923-928, 2002Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(02)00492-7. Acesso em: 05 set. 2024.
APA
Mazza, M., Pinho, M. de, Piqueira, J. R. C., & Roque, A. C. (2002). Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system. Neurocomputing, 44-46, 923-928. doi:10.1016/s0925-2312(02)00492-7
NLM
Mazza M, Pinho M de, Piqueira JRC, Roque AC. Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system [Internet]. Neurocomputing. 2002 ; 44-46 923-928.[citado 2024 set. 05 ] Available from: https://doi.org/10.1016/s0925-2312(02)00492-7
Vancouver
Mazza M, Pinho M de, Piqueira JRC, Roque AC. Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system [Internet]. Neurocomputing. 2002 ; 44-46 923-928.[citado 2024 set. 05 ] Available from: https://doi.org/10.1016/s0925-2312(02)00492-7
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINHO, Marilene de et al. Shannon's entropy applied to the analysis of tonotopic reorganization in a model of classical conditioning. 2002, Anais.. São Paulo: ICB-USP, 2002. . Acesso em: 05 set. 2024.
APA
Pinho, M. de, Mazza, M., Piqueira, J. R. C., & Roque, A. C. (2002). Shannon's entropy applied to the analysis of tonotopic reorganization in a model of classical conditioning. In Resumos de comunicações científicas. São Paulo: ICB-USP.
NLM
Pinho M de, Mazza M, Piqueira JRC, Roque AC. Shannon's entropy applied to the analysis of tonotopic reorganization in a model of classical conditioning. Resumos de comunicações científicas. 2002 ;[citado 2024 set. 05 ]
Vancouver
Pinho M de, Mazza M, Piqueira JRC, Roque AC. Shannon's entropy applied to the analysis of tonotopic reorganization in a model of classical conditioning. Resumos de comunicações científicas. 2002 ;[citado 2024 set. 05 ]
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINHO, Marilene de et al. Shannon entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning. 2001, Anais.. San Francisco: Elsevier, 2001. . Acesso em: 05 set. 2024.
APA
Pinho, M. de, Mazza, M., Piqueira, J. R. C., & Roque, A. C. (2001). Shannon entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning. In CNS 2001: abstracts. San Francisco: Elsevier.
NLM
Pinho M de, Mazza M, Piqueira JRC, Roque AC. Shannon entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning. CNS 2001: abstracts. 2001 ;[citado 2024 set. 05 ]
Vancouver
Pinho M de, Mazza M, Piqueira JRC, Roque AC. Shannon entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning. CNS 2001: abstracts. 2001 ;[citado 2024 set. 05 ]
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINHO, Marilene de et al. Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system. 2001, Anais.. San Francisco: Elsevier, 2001. . Acesso em: 05 set. 2024.
APA
Pinho, M. de, Mazza, M., Piqueira, J. R. C., & Roque, A. C. (2001). Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system. In CNS 2001: abstracts. San Francisco: Elsevier.
NLM
Pinho M de, Mazza M, Piqueira JRC, Roque AC. Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system. CNS 2001: abstracts. 2001 ;[citado 2024 set. 05 ]
Vancouver
Pinho M de, Mazza M, Piqueira JRC, Roque AC. Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system. CNS 2001: abstracts. 2001 ;[citado 2024 set. 05 ]