A novel statistical analysis of voltage-imaging data by structural time series modeling and its application to the respiratory neuronal network

Neuroscience Research

Volumn 63, Issue 3, 2009, Pages 165-171

  Kawai, Shigeharu ^a   Oku, Yoshitaka ^b   Okada, Yasumasa ^c   Miwakeichi, Fumikazu ^d   Tamura, Yoshiyasu ^a,e   Ishiguro, Makio ^a,e  

^a GRADUATE UNIVERSITY FOR ADVANCED STUDIES   (Japan)

^b HYOGO COLLEGE OF MEDICINE   (Japan)

^c KEIO UNIVERSITY   (Japan)

^d CHIBA UNIVERSITY   (Japan)

^e INSTITUTE OF STATISTICAL MATHEMATICS   (Japan)

Author keywords

Central pattern generation; Event related neuronal activity; Isolated brainstem spinal cord preparation; Non linear optimization; Optical imaging; Parametric model; Sigmoid and transfer function model; Voltage sensitive dye

Indexed keywords

ANIMAL TISSUE; ARTICLE; CORRELATION ANALYSIS; ELECTRIC POTENTIAL; IMAGING; MOTOR ACTIVITY; NERVE CELL NETWORK; NEUROPHYSIOLOGICAL RECRUITMENT; NEWBORN; NONHUMAN; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PROCESS MODEL; RAT; RESPIRATORY NERVE CELL; STATISTICAL ANALYSIS;

ANIMALS; ANIMALS, NEWBORN; BRAIN STEM; DIAGNOSTIC IMAGING; MODELS, NEUROLOGICAL; NEURONS; OPTICS AND PHOTONICS; RATS; RATS, SPRAGUE-DAWLEY; RESPIRATORY CENTER; RESPIRATORY SYSTEM; SPINAL CORD; STATISTICS AS TOPIC; TIME FACTORS;

EID: 60249091455     PISSN: 01680102     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neures.2008.11.008     Document Type: Article

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