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  • 1
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 1990-04-06
    Description: Neurons with oscillatory properties are a common feature of the nervous system, but little is known about how neural oscillators shape the behavior of neuronal networks or how network interactions influence the properties of neural oscillators. Mathematical models are used to examine the effect of electrically coupling an oscillatory neuron to a second neuron that is either silent or tonically firing. Models of oscillatory neurons with varying degrees of complexity show that this coupling can either increase or decrease the frequency of an oscillator, depending on its membrane potential wave form, the state of the neuron to which it is coupled, and the strength of the coupling. Thus, electrical coupling provides a flexible mechanism for modifying the behavior of an oscillatory neural network.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kepler, T B -- Marder, E -- Abbott, L F -- NS17813/NS/NINDS NIH HHS/ -- T32NS07292/NS/NINDS NIH HHS/ -- New York, N.Y. -- Science. 1990 Apr 6;248(4951):83-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, Brandeis University, Waltham, MA 02254.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/2321028" target="_blank"〉PubMed〈/a〉
    Keywords: Action Potentials ; Biological Clocks ; Electric Conductivity ; Electrophysiology ; Mathematics ; Membrane Potentials ; *Models, Biological ; Neurons/*physiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 1993-03-26
    Description: Neurons maintain their electrical activity patterns despite channel turnover, cell growth, and variable extracellular conditions. A model is presented in which maximal conductances of ionic currents depend on the intracellular concentration of calcium ions and so, indirectly, on activity. Model neurons with activity-dependent maximal conductances modify their conductances to maintain a given behavior when perturbed. Moreover, neurons that are described by identical sets of equations can develop different properties in response to different patterns of presynaptic activity.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉LeMasson, G -- Marder, E -- Abbott, L F -- MH46742/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 1993 Mar 26;259(5103):1915-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, Brandeis University, Waltham, MA 02254.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/8456317" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Calcium/*metabolism/pharmacology ; Electric Conductivity ; Electric Stimulation ; Feedback ; *Models, Biological ; Neurons/drug effects/*physiology ; Potassium/metabolism/pharmacology ; Second Messenger Systems ; Sodium/metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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