| Aperiodic stochastic resonance in a hysteretic population of cardiac neurons. | |
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MedLine Citation:
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PMID: 11046466 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Aperiodic stochastic resonance (ASR) is studied for a densely interconnected population of excitatory and inhibitory neurons that exhibit hysteresis. Switching between states in the presence of noisy external forcing is represented as a "competition between averages" and this is further explained through a semianalytical model. In contrast to energy-based approaches where only the timing of a switch between states is represented, the competition between averages also identifies the input history responsible for a switch. This last point leads to some interesting conclusions regarding cause and effect in the presence of noisy forcing of a hysteretic system. For example, at subthreshold inputs, it is found that the input history causing a switch between states is primarily dependent upon the noise level even though the corresponding time to switch is sensitive to both the distance from the threshold and the noise level. Since the application considered here is to cardiac neuronal control, control performance is considered over the full input range. Noise tuning for adequate control performance is found to be unnecessary if the noise level is high enough. This is consistent with studies of ASR for sensory neurons. Another observation made here that may be of clinical significance is that at higher noise levels, constraints placed upon inputs to ensure adequate control performance are likely to depend upon the switching direction. |
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Authors:
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G C Kember; G A Fenton; K Collier; J A Armour |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics Volume: 61 ISSN: 1063-651X ISO Abbreviation: Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics Publication Date: 2000 Feb |
Date Detail:
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Created Date: 2000-12-04 Completed Date: 2000-12-04 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9887340 Medline TA: Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 1816-24 Citation Subset: IM |
Affiliation:
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Department of Engineering Mathematics, Dalhousie University, P. O. Box 1000, Halifax, Nova Scotia, Canada B3J 2X4. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Heart
/
innervation*,
physiology* Models, Neurological* Monte Carlo Method Myocardium / cytology* Neurons / physiology* Stochastic Processes Time Factors Ventricular Pressure / physiology |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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