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On the robustness of EC-PC spike detection method for online neural recording.
Zhou, Yin; Wu, Tong; Rastegarnia, Amir; Guan, Cuntai; Keefer, Edward; Yang, Zhi.
Afiliação
  • Zhou Y; Department of Electrical and Computer Engineering, National University of Singapore, 117583 Singapore, Singapore; Institute of VLSI Design, Zhejiang University, Hangzhou 310027, China.
  • Wu T; Department of Electrical and Computer Engineering, National University of Singapore, 117583 Singapore, Singapore.
  • Rastegarnia A; Department of Electrical Engineering, Malayer University, Malayer 95863-65719, Iran.
  • Guan C; Department of Neural and Biomedical Technology, Institute for Infocomm Research, A*STAR, 138632 Singapore, Singapore.
  • Keefer E; Nerves Incorporated, Dallas, TX 75206, USA.
  • Yang Z; Department of Electrical and Computer Engineering, National University of Singapore, 117583 Singapore, Singapore. Electronic address: eleyangz@nus.edu.sg.
J Neurosci Methods ; 235: 316-30, 2014 Sep 30.
Article em En | MEDLINE | ID: mdl-25088692
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Potenciais de Ação / Reconhecimento Automatizado de Padrão / Neurônios Tipo de estudo: Diagnostic_studies / Evaluation_studies / Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2014 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Potenciais de Ação / Reconhecimento Automatizado de Padrão / Neurônios Tipo de estudo: Diagnostic_studies / Evaluation_studies / Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2014 Tipo de documento: Article