Shannon entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning (2001)
- Authors:
- USP affiliated authors: PIQUEIRA, JOSE ROBERTO CASTILHO - EP ; SILVA FILHO, ANTONIO CARLOS ROQUE DA - FFCLRP
- Unidades: EP; FFCLRP
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Elsevier
- Publisher place: San Francisco
- Date published: 2001
- Source:
- Título do periódico: CNS 2001: abstracts
- Conference titles: Annual Computational Neuroscience Meeting
-
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: 19 abr. 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 abr. 19 ] -
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 abr. 19 ] - Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system
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