title: Gravitational representation of simultaneously recorded brainstem respiratory neuron spike trains.
abstract: Experiments designed to study concurrent processes in neural networks have been hampered by limitations of available analytical methods. A recently described gravitational representation of spike train data was used to evaluate groups of simultaneously monitored medullary respiratory related neurons in anesthetized, vagotomized cats. The results establish that the method can detect and define functional associations among elements of such groups after as few as 20 respiratory cycles.
authors.affiliation: Department of Physiology and Biophysics, University of South Florida Health Sciences Center, Tampa 33612.
authors.forename: B G
authors.initials: BG
authors.lastname: Lindsey
authors.forename: R
authors.initials: R
authors.lastname: Shannon
authors.forename: G L
authors.initials: GL
authors.lastname: Gerstein
mesh_terms: D000200:Action Potentials; D000818:Animals; D002415:Cats; D001330:Electronic Data Processing; D005260:Female; D008297:Male; D009415:Nerve Net / Q000502:physiology*; D009424:Nervous System Physiological Phenomena; D012125:Respiratory Center / Q000502:physiology*