In this book, we mainly focus on the dynamic features and mechanisms of excitable neuron and neuronal networks in the detection of weak signals by using Hodgkin-Huxley (HH) model. We have studied the effect of external noise and signal frequency on the collective dynamical behaviors of the neuronal system. We have observed the existence of the intrinsic oscillation and the frequency-dependent impendence of the ionic channels of HH model. These features provide the HH systems interesting behaviors like resonance and frequency preference, which can enable the neuronal systems serve as a band-filter and a signal amplifier. That is, the signal with frequency around that of the intrinsic oscillation can be efficiently processed and amplified. An effective sensitive frequency region is found in a range of 30-100 Hz.
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Prof Yuguo Yu Ph D 2001 in Physics at Nanjing University Postdoc in Computational Behavior Neuroscience at Carnegie Mellon University 2004 and Associate Research Scientist at Yale University 2010 Dr Yu joined Fudan University as a full professor since 2011 and was endowed the Shanghai Eastern Scholar Professorship 2013 His research interests include cellular and synaptic mechanisms of cortical spiking dynamics and energetics of information processing
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 112 pp. Chinesisch. Bestandsnummer des Verkäufers 9783639828795
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book we mainly focus on the dynamic features and mechanisms of excitable neuron and neuronal networks in the detection of weak signals by using Hodgkin Huxley HH model We have studied the effect of external noise and signal frequency on the collective dynamical behaviors of the neuronal system We have observed the existence of the intrinsic oscillation and the frequency dependent impendence of the ionic channels of HH model These features provide the HH systems interesting behaviors like resonance and frequency preference which can enable the neuronal systems serve as a band filter and a signal amplifier That is the signal with frequency around that of the intrinsic oscillation can be efficiently processed and amplified An effective sensitive frequency region is found in a range of 30 100 Hz. Bestandsnummer des Verkäufers 9783639828795
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book we mainly focus on the dynamic features and mechanisms of excitable neuron and neuronal networks in the detection of weak signals by using Hodgkin Huxley HH model We have studied the effect of external noise and signal frequency on the collective dynamical behaviors of the neuronal system We have observed the existence of the intrinsic oscillation and the frequency dependent impendence of the ionic channels of HH model These features provide the HH systems interesting behaviors like resonance and frequency preference which can enable the neuronal systems serve as a band filter and a signal amplifier That is the signal with frequency around that of the intrinsic oscillation can be efficiently processed and amplified An effective sensitive frequency region is found in a range of 30 100 Hz 112 pp. Chinesisch. Bestandsnummer des Verkäufers 9783639828795
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Taschenbuch. Zustand: Neu. Neurodynamics and Information Processing in Neural Systems | Yuguo Yu | Taschenbuch | Chinesisch | 2016 | Golden Light Academic Publishing | EAN 9783639828795 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 136471848
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