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A New Dynamic Electronic Model of Neuron’s Membrane

Yıl 2018, Cilt: 3 Sayı: 1, 1 - 6, 30.06.2018

Öz

Abstract: Neural system consists of billions of neurons that
naturally do control the bio-physical system. A typical neuron basically consists
of soma which is the functional body of neuron, axon, dendrites and synapses. An
action potential is generated across the neuron’s membrane and conducted  to the axonal terminals through which the next
neighboring neuron/neurons are excited. The action potential is generated via
ionic discharge of membrane in the format of none or all. In this particular
study a new electronic integrate and fire model of neuron possessing dynamic properties
of a real neuron is introduced. The circuit developed here is inspired from the
well known Hodgkin Huxley model with addition of dynamic voltage controlled ionic
gates and channels. The model stays in the resting state unless it is triggered
through anywhere/dendrite on the membrane. 
In accordance with the increase of power range of excitation applied to
the neuron  the frequency of action potentials
generated by electronic cell model increases. The generated pulse very quickly
propagates to the axon terminals and triggers the next cell, and accordingly
repeats the action potential with the same format as in the previous cell. With
carrying out some specific tests on this electrical model it is aimed to
further understand the electrical and molecular interaction/communication made
over a real neuronal network.

Kaynakça

  • [1] Melissa M. Rolls and Timothy J. Jegla, “Neuronal polarity: an evolutionary perspective (a review)” The Journal of Experimental Biology (2015) 218, 572-580 doi:10.1242/jeb.112359
  • [2] Wilson H.R. “Spikes decisions and actions: dynamical foundation of neuroscience” Oxford University Press (1999)
  • [3] Gerstner and Kistler “Spiking Neuron Models. Single Neurons, Populations, Plasticity”, Cambridge University Press, 2002
  • [4] Boucsein et al. “Dynamical response properties of neocortical neuron ensembles: Multiplicative versus additive noise.” Published in W. Gerstner, W. M. Kistler, R. Naud and L. Paninski, “ Neuronal Dynamics: From single neurons to networks and models of cognition” J. Neurosci. 29(4):1006-1010 (2009) http://neuronaldynamics.epfl.ch/
  • [5] Tchumatchenko et al. “Ultrafast Population Encoding by Cortical Neurons” J. Neurosci. 31(34): 12171-12179 (2011)
  • [6] Rauch et al. “Neocortical pyramidal cells respond ad integrate-and-fire neurons to in vivo like input currents”, J. Neurophys. 90:1598-1612 (2003)
  • [7] Brunel N “Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons”, J. Comp Neurosci. 8:183-208 (2000)
  • [8] J. Malmivuo, R. Plonsey “Electronic Neuron Models”in . Bioelectromagnetism Principles and Applications of Bioelectric and Biomagnetic Fields” Oxford University Press 1995 New York
  • [9] A. L. Hodgkin and A. F. Huxley, “A Quantitative Description of Membrane Current and its Application to Conduction and Excitation in Nerve”, J. Physiol. University of Cambridge (I952) I I7, 500-544
  • [10] https://www.electronics-tutorials.ws/power/unijunction-transistor.html]
  • [11] https://www.khanacademy.org/science/biology/human-biology/neuron-nervous-system/a/ depolarization-hyperpolarization-and-action-potentials

A New Dynamic Electronic Model of Neuron’s Membrane

Yıl 2018, Cilt: 3 Sayı: 1, 1 - 6, 30.06.2018

Öz

AbstractNeural system consists of billions of neurons that naturally do control the bio-physical system. A typical neuron basically consists of soma which is the functional body of neuron, axon, dendrites and synapses. An action potential is generated across the neuron’s membrane and conducted  to the axonal terminals through which the next neighboring neuron/neurons are excited. The action potential is generated via ionic discharge of membrane in the format of none or all. In this particular study a new electronic integrate and fire model of neuron possessing dynamic properties of a real neuron is introduced. The circuit developed here is inspired from the well known Hodgkin Huxley model with addition of dynamic voltage controlled ionic gates and channels. The model stays in the resting state unless it is triggered through anywhere/dendrite on the membrane.  In accordance with the increase of power range of excitation applied to the neuron  the frequency of action potentials generated by electronic cell model increases. The generated pulse very quickly propagates to the axon terminals and triggers the next cell, and accordingly repeats the action potential with the same format as in the previous cell. With carrying out some specific tests on this electrical model it is aimed to further understand the electrical and molecular interaction/communication made over a real neuronal network.

Kaynakça

  • [1] Melissa M. Rolls and Timothy J. Jegla, “Neuronal polarity: an evolutionary perspective (a review)” The Journal of Experimental Biology (2015) 218, 572-580 doi:10.1242/jeb.112359
  • [2] Wilson H.R. “Spikes decisions and actions: dynamical foundation of neuroscience” Oxford University Press (1999)
  • [3] Gerstner and Kistler “Spiking Neuron Models. Single Neurons, Populations, Plasticity”, Cambridge University Press, 2002
  • [4] Boucsein et al. “Dynamical response properties of neocortical neuron ensembles: Multiplicative versus additive noise.” Published in W. Gerstner, W. M. Kistler, R. Naud and L. Paninski, “ Neuronal Dynamics: From single neurons to networks and models of cognition” J. Neurosci. 29(4):1006-1010 (2009) http://neuronaldynamics.epfl.ch/
  • [5] Tchumatchenko et al. “Ultrafast Population Encoding by Cortical Neurons” J. Neurosci. 31(34): 12171-12179 (2011)
  • [6] Rauch et al. “Neocortical pyramidal cells respond ad integrate-and-fire neurons to in vivo like input currents”, J. Neurophys. 90:1598-1612 (2003)
  • [7] Brunel N “Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons”, J. Comp Neurosci. 8:183-208 (2000)
  • [8] J. Malmivuo, R. Plonsey “Electronic Neuron Models”in . Bioelectromagnetism Principles and Applications of Bioelectric and Biomagnetic Fields” Oxford University Press 1995 New York
  • [9] A. L. Hodgkin and A. F. Huxley, “A Quantitative Description of Membrane Current and its Application to Conduction and Excitation in Nerve”, J. Physiol. University of Cambridge (I952) I I7, 500-544
  • [10] https://www.electronics-tutorials.ws/power/unijunction-transistor.html]
  • [11] https://www.khanacademy.org/science/biology/human-biology/neuron-nervous-system/a/ depolarization-hyperpolarization-and-action-potentials
Toplam 11 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Bilgisayar Yazılımı
Bölüm PAPERS
Yazarlar

M. Emin Tağluk

Yayımlanma Tarihi 30 Haziran 2018
Gönderilme Tarihi 21 Haziran 2018
Kabul Tarihi 13 Temmuz 2018
Yayımlandığı Sayı Yıl 2018 Cilt: 3 Sayı: 1

Kaynak Göster

APA Tağluk, M. E. (2018). A New Dynamic Electronic Model of Neuron’s Membrane. Computer Science, 3(1), 1-6.

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