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Action potential and bursting phenomena using analog electrical neuron

Authors:

Mithula Parangan,

Chitra Aravind,

Harilal Parasuraman,

Krishnashree Achuthan,

Bipin Nair,

Shyam DiwakarAuthors Info & Claims

A2CWiC '10: Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India

Article No.: 6, Pages 1 - 7

https://doi.org/10.1145/1858378.1858384

Published: 16 September 2010 Publication History

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Abstract

A neuron or nerve cell has passive components due to resistive-capacitive nature of circuitry and active current components contributed by ion channels. Biophysical neurons represent active and passive components by differential equations. The differential equations of the biophysical model were integrated by making arithmetic operations on voltage model circuits. Analog neuronal model using voltage integrator circuits is the main focus of this paper. The work involves two circuit models and also addresses design and passive properties of analog neuron model along with the effects of Na⁺ and K⁺ ionic channels. In the first simpler circuit, an action potential was generated. In the enhanced second model, sodium and potassium currents were generated separately along with action potential. Impacts of noise and various geometrical signals on the action potential and ionic channels were studied to analyze the effects of membrane resistance and capacitance changes in membrane potential and ionic channels. Besides its use in neuromorphic network research, the model has been successfully in virtual labs and for teaching practice.

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YALÇINKAYA FTEMEL BDOĞRU AGÜNGÜNEŞ R(2020)Matlab Based Electrical Circuit Simulation Of Hodgkin-Huxley Neuron ModelUluslararası Muhendislik Arastirma ve Gelistirme Dergisi10.29137/umagd.775360(711-723)Online publication date: 30-Jun-2020
https://doi.org/10.29137/umagd.775360

Index Terms

Action potential and bursting phenomena using analog electrical neuron
1. Computer systems organization
  1. Architectures
    1. Other architectures
      1. Neural networks
2. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
      1. Neural networks

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A2CWiC '10: Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India

September 2010

425 pages

ISBN:9781450301947

DOI:10.1145/1858378

Conference Chairs:
Krishnashree Achuthan
Amrita University, India
,
Gayatri Buragohain
ACM-W India Ambassador

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Published: 16 September 2010

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A2CWiC '10: Emerging Trends in Computing

September 16 - 17, 2010

Coimbatore, India

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YALÇINKAYA FTEMEL BDOĞRU AGÜNGÜNEŞ R(2020)Matlab Based Electrical Circuit Simulation Of Hodgkin-Huxley Neuron ModelUluslararası Muhendislik Arastirma ve Gelistirme Dergisi10.29137/umagd.775360(711-723)Online publication date: 30-Jun-2020
https://doi.org/10.29137/umagd.775360

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Multiple timescale mixed bursting dynamics in a respiratory neuron model

Bifurcation analysis in a silicon neuron

Silicon neuron: digital hardware implementation of the quartic model

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Multiple timescale mixed bursting dynamics in a respiratory neuron model

Bifurcation analysis in a silicon neuron

Silicon neuron: digital hardware implementation of the quartic model

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