Characterizing the complexity of spontaneous electrical signals in cultured neuronal networks using approximate entropy

IEEE Transactions on Information Technology in Biomedicine

Volumn 13, Issue 3, 2009, Pages 405-410

  Chen, Lin ^a   Luo, Weihua ^b   Deng, Yong ^b   Wang, Zhen ^b   Zeng, Shaoqun ^c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b GUANGXI UNIVERSITY   (China)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Approximate entropy (ApEn); Complexity; Hippocampal neurons; Multielectrode arrays (MEAs); Spontaneous activity

Indexed keywords

APPROXIMATE ENTROPY (APEN); COMPLEXITY; HIPPOCAMPAL NEURONS; MULTIELECTRODE ARRAYS (MEAS); SPONTANEOUS ACTIVITY;

ENTROPY; NEURONS;

NEURAL NETWORKS;

ALGORITHM; ANIMAL; ANIMAL EMBRYO; ARTICLE; BIOLOGICAL MODEL; CELL CULTURE; CULTURE TECHNIQUE; CYTOLOGY; ELECTRODE; ELECTROPHYSIOLOGY; HIPPOCAMPUS; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY; RAT; SIGNAL PROCESSING; THERMODYNAMICS;

ALGORITHMS; ANIMALS; CELL CULTURE TECHNIQUES; CELLS, CULTURED; ELECTRODES; ELECTROPHYSIOLOGICAL PHENOMENA; EMBRYO, MAMMALIAN; HIPPOCAMPUS; MODELS, NEUROLOGICAL; NERVE NET; NEURONS; RATS; SIGNAL PROCESSING, COMPUTER-ASSISTED; THERMODYNAMICS;

EID: 67349084192     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2008.2012164     Document Type: Article

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