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Dynamics of neural networks and respiratory rhythm generation

The phase resetting effects of stimulating the superior laryngeal nerve at different phases of the respiratory cycle in cats were measured in terms of the latency of onset of the cycle following stimulation. Fixed-delay stimulation was also used; for certain combinations of delay, stimulus intensity, and cycles between stimuli, it resulted in (1) a variable, rather than consistent, response, and (2) a transient increase in cycle duration during and after stimulation. Phase resetting and fixed-delay stimulation of a simple three-phase model for neural rhythm generation produce responses that are qualitatively similar to those obtained experimentally. / We consider the dynamical properties of a class of theoretical models of neural networks that have the same mathematical formulation as the above three-phase model, but consist of a larger number of randomly connected elements. A simple transformation of these models shows correspondence with previous neural network models and enables a theoretical analysis of steady states and cycles. Complex aperiodic dynamics are found in networks consisting of 6 or more elements.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.60568
Date January 1991
CreatorsLewis, John E.
PublisherMcGill University
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Formatapplication/pdf
CoverageMaster of Science (Department of Physiology.)
RightsAll items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.
Relationalephsysno: 001243228, proquestno: AAIMM72162, Theses scanned by UMI/ProQuest.

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