CONTROL AND SYNCHRONIZATION OF HODGKIN-HUXLEY NEURONS
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作者:
Puebla, H.
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Univ Autonoma Metropolitana, Dept Energa, Av San Pablo 180, Azcapotzalco 02200, DF, MexicoUniv Autonoma Metropolitana, Dept Energa, Av San Pablo 180, Azcapotzalco 02200, DF, Mexico
Puebla, H.
[1
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Aguilar-Lopez, R.
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Univ Autonoma Metropolitana, Dept Energa, Av San Pablo 180, Azcapotzalco 02200, DF, MexicoUniv Autonoma Metropolitana, Dept Energa, Av San Pablo 180, Azcapotzalco 02200, DF, Mexico
Aguilar-Lopez, R.
[1
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Ramirez-Castelan, E.
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Univ Autonoma Metropolitana, Dept Energa, Av San Pablo 180, Azcapotzalco 02200, DF, MexicoUniv Autonoma Metropolitana, Dept Energa, Av San Pablo 180, Azcapotzalco 02200, DF, Mexico
Ramirez-Castelan, E.
[1
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Hernandez-Martinez, E.
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Univ Autonoma Metropolitana, Dept IPH, Mexico City 09340, DF, MexicoUniv Autonoma Metropolitana, Dept Energa, Av San Pablo 180, Azcapotzalco 02200, DF, Mexico
Hernandez-Martinez, E.
[2
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Alvarez-Ramirez, J.
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Univ Autonoma Metropolitana, Dept IPH, Mexico City 09340, DF, MexicoUniv Autonoma Metropolitana, Dept Energa, Av San Pablo 180, Azcapotzalco 02200, DF, Mexico
Alvarez-Ramirez, J.
[2
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机构:
[1] Univ Autonoma Metropolitana, Dept Energa, Av San Pablo 180, Azcapotzalco 02200, DF, Mexico
[2] Univ Autonoma Metropolitana, Dept IPH, Mexico City 09340, DF, Mexico
Control and synchronization of HH neurons is a central topic in understanding the rhythmicity of living organisms in neuroscience. By using a feedback control approach, we provide a method for both control and synchronization of single and coupled HH neurons. Our main purpose is to elucidate how the synchronization between coupled HH neurons is achieved by a plausible external stimuli. Numerical simulations shown the effectiveness of our control approach.
机构:
Penn State Univ, Dept Engn Sci & Mech, Ctr Neural Engn, University Pk, PA 16802 USAPenn State Univ, Dept Engn Sci & Mech, Ctr Neural Engn, University Pk, PA 16802 USA
Ullah, Ghanim
Schiff, Steven J.
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Penn State Univ, Dept Engn Sci & Mech, Ctr Neural Engn, University Pk, PA 16802 USA
Penn State Univ, Dept Phys, University Pk, PA 16802 USA
Penn State Univ, Dept Neurosurg, University Pk, PA 16802 USAPenn State Univ, Dept Engn Sci & Mech, Ctr Neural Engn, University Pk, PA 16802 USA
机构:
Center for Neurotechnology and Machine Learning, Immanuel Kant Baltic Federal University, KaliningradCenter for Neurotechnology and Machine Learning, Immanuel Kant Baltic Federal University, Kaliningrad
Andreev A.V.
Maksimenko V.A.
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机构:
Center for Neurotechnology and Machine Learning, Immanuel Kant Baltic Federal University, KaliningradCenter for Neurotechnology and Machine Learning, Immanuel Kant Baltic Federal University, Kaliningrad
Maksimenko V.A.
Badarin A.A.
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机构:
Center for Neurotechnology and Machine Learning, Immanuel Kant Baltic Federal University, KaliningradCenter for Neurotechnology and Machine Learning, Immanuel Kant Baltic Federal University, Kaliningrad
Badarin A.A.
Grubov V.V.
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机构:
Center for Neurotechnology and Machine Learning, Immanuel Kant Baltic Federal University, Kaliningrad
Razumovsky State Medical University, SaratovCenter for Neurotechnology and Machine Learning, Immanuel Kant Baltic Federal University, Kaliningrad
Grubov V.V.
Hramov A.E.
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机构:
Center for Neurotechnology and Machine Learning, Immanuel Kant Baltic Federal University, KaliningradCenter for Neurotechnology and Machine Learning, Immanuel Kant Baltic Federal University, Kaliningrad