Dual oscillator model of the respiratory neuronal network generating quantal slowing of respiratory rhythm

Journal of Computational Neuroscience

Volumn 30, Issue 2, 2011, Pages 225-240

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

^a HYOGO COLLEGE OF MEDICINE   (Japan)

^b INSTITUTE OF STATISTICAL MATHEMATICS   (Japan)

^c UNIVERSITY MEDICAL CENTER GÖTTINGEN   (Germany)

^d KEIO UNIVERSITY   (Japan)

^e CHIBA UNIVERSITY   (Japan)

Author keywords

Neuronal networks; Numerical simulation; Quantal slowing; Respiratory rhythm generation; Rhythm coupling

Indexed keywords

NEURONS; OSCILLATORS (MECHANICAL); STOCHASTIC SYSTEMS;

CURRENT CONDUCTANCE; DYNAMIC INTERACTION; FIRING PATTERNS; NEURONAL GROUPS; NEURONAL NETWORKS; OSCILLATOR MODEL; PACEMAKER NEURONS; QUANTAL SLOWING; RESPIRATORY RHYTHM GENERATION; RHYTHM COUPLING;

NEURAL NETWORKS;

ARTICLE; BREATHING PATTERN; CONTROLLED STUDY; EXCITATORY POSTSYNAPTIC POTENTIAL; INSPIRATORY CAPACITY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL INHIBITION; NERVE CELL NETWORK; NERVE CELL STIMULATION; OSCILLATORY POTENTIAL; PACEMAKER NERVE CELL; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; RESPIRATION CONTROL; RESPIRATORY NERVE CELL; SIGNAL NOISE RATIO; SODIUM CONDUCTANCE; SODIUM CURRENT; STEADY STATE; SYNAPTIC TRANSMISSION;

EID: 79953320426     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-010-0249-0     Document Type: Article

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