Book chapter
Modeling and analysis of some neural mechanisms for the genesis and control of respiratory pattern
From Natural to Artificial Neural Computation, pp 100-107
01 Jun 2005
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Simulations were developed in the framework of the network theory of respiratory rhythmogenesis. The main goals were: (i) to develop computational models of neural mechanisms that provide the genesis and control of both respiratory oscillations and specific patterns of respiratory neurons, and (ii) to test some hypotheses about the neural mechanisms of respiratory rhythmogenesis on the basis of an analysis of these models. Our specific objectives were to understand the mechanisms of integration and specific roles of intrinsic properties of respiratory neurons, network properties of their interconnections, and effects of afferent feedback in the genesis and control of the respiratory pattern. The models of single respiratory neurons were developed in the Hodgkin-Huxley style. The single neuron models produce the specific firing patterns of respiratory neurons recorded experimentally (i.e. adapting and ramping bursts). Different model versions of the respiratory rhythm generator have been considered. They consist of interconnected neurons and vagal feedback from lung stretch receptors. The models demonstrate a stable respiratory rhythm and specific patterns of respiratory neuronal discharges. The performances of the models are compared and analyzed in light of existing hypotheses and physiological data.
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Details
- Title
- Modeling and analysis of some neural mechanisms for the genesis and control of respiratory pattern
- Creators
- Ilya A. Rybak - E. I. du Pont de Nemours & CoJulian F. R. Paton - University of BristolJames S. Schwaber - E. I. du Pont de Nemours & Co
- Publication Details
- From Natural to Artificial Neural Computation, pp 100-107
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Web of Science ID
- WOS:A1995BF02K00014
- Scopus ID
- 2-s2.0-84947447935
- Other Identifier
- 991019231648104721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Theory & Methods