A Microcontroller Implementation Of Hindmarsh-Rose Neuron Model-Based Biological Central Pattern Generator

Yener, Şuayb Çağrı; Mutlu, Reşat

doi:10.1109/ubmyk48245.2019.8965612

Cited by 4 publications

(6 citation statements)

References 18 publications

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“…Such a method is used to make classical signal generators successfully [16,17]. The method is also used to make the signal generators requiring the solution of the time-dependent state-space equations numerically in [18][19][20][21][22][23][24][25]. There are already various types of microcontroller-based power supplies presented in the literature.…”

Section: Introductionmentioning

confidence: 99%

“…An ECG signal generator using experimental data is made in [19]. An H-R neuron is emulated with a microcontroller in [20]. The Lorentz system is emulated with an ARM microcontroller [21].…”

Section: Introductionmentioning

confidence: 99%

“…In this study, it has been shown that a microcontroller-based Liénard Oscillator can be made using a cheap, rugged, easy-to-use microcontroller such as Arduino Nano Klon V3.0 and two DACs for the first time in the literature. In [18][19][20][21][22][23][24][25], more than one state variables are solved numerically and exported through either DACs or digital ports. In this study, Similarly, the discretized variables of the Liénard system are obtained and the equations are solved numerically using the Euler method with the microcontroller program.…”

Section: Introductionmentioning

confidence: 99%

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A Microcontroller-based Liénard Oscillator

MEVSİM>

Mutlu

2022

European Journal of Engineering and Applied Sciences

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Van der Pol Equation is a special case of Liénard equations. Both oscillators have significant historical importance. There are lots of different circuit topologies for Van der Pol and Liénard oscillators. Such oscillators can be made using vacuum tubes, diodes, etc. In this study, to the best of our knowledge, for the first time in literature, a Liénard Oscillator has been made with the Direct digital synthesis (DDS) method using the Arduino Nano Klon V3.0 microcontroller and two DACs. The experimental results of the oscillator are given, and it is shown that it performs well.

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Section: Introductionmentioning

confidence: 99%

“…An ECG signal generator using experimental data is made in [19]. An H-R neuron is emulated with a microcontroller in [20]. The Lorentz system is emulated with an ARM microcontroller [21].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Microcontroller-based Liénard Oscillator

MEVSİM>

Mutlu

2022

European Journal of Engineering and Applied Sciences

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“…Unfortunately, not all the institutes or departments have FPGAs. Microcontrollers which are slower but cheaper than FPGAs are successfully used to emulate chaotic systems, ECKG signal generator and neurons in (Yener et al, 2017;Yener et al, 2017;Yener, 2019). A microcontroller-based memristive chaotic circuit is implemented in (Yener et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

STM32F429 Discovery Board-Based Emulator for Lotka-Volterra Equations

Karakulak

Tan

Mutlu

2021

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Lotka-Volterra equations are commonly used in prey-predator population studies. Simulation programs are commonly used to produce solutions of Lotka-Volterra equations and to examine their initial value dependendence. In literature, chaotic waveform generators, ECG and EEG generators have been made and used for research and education. To the best of our knowledge, such an electrical circuit to produce the Lotka-Volterra waveforms does not exist. Such a circuit can be made using either analog or digital circuit components. However, such a device may be used for education in classroom and also to prove concepts by population researchers. In this study, implementation and experimental verification of the microcontroller-based circuit which solves LotkaVolterra equations in real time and produces its waveforms are presented. Euler method is used to solve the equation system in discrete time. Presented design has been implemented using an STM32F429 Discovery Board, two DACs and four opamps. The microcontroller sends the signals to the outputs of the circuit using digital-to-analog converters and opamps. The waveforms acquired experimentally from the implemented circuit outputs matches well with those obtained from numerical simulations.

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“…Neuron emulators are commonly used to examine neuron systems or behaviour of neurons [32][33][34][35][36][37][38][39][40]. As shown in [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31], Lapique neuron model is quite useful and an emulator of the neuron would be quite beneficial for not only research but also educational purposes.…”

Section: Introductionmentioning

confidence: 99%

A Simple Lapicque Neuron Emulator

Tulumbaci¹,

Eryildiz²,

Mutlu³

2020

World Congress on Electrical Engineering and Computer Systems and Science

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Neuron models such as Leaky Integrate and Fire (Lapicque Neuron) model, Hodgkin Huxley Model, Fitzhugh-Nagumo Model, and Izhikevich neuron model are commonly used in neuronal studies. Nobel laureate Hudgkin-Hugsley neuron model is quite complex despite of being accurate. That's why simplified neuron models such as Fitzhugh-Nagumo neuron model is commonly used in studies. Lapicque Neuron is the first neuron model suggested in Literature. It had been reported by Lapicque in 1907, it is easy to understand, and it is still commonly used for neural studies for its simplicity. Neuron emulator circuits are used for education and research purposes. They can be made using individual electronics components or VLSI circuits. In this study, a Lapicque Neuron emulator circuit topology is introduced. It is simple enough to be made by students and it can be made using cheap off-the shelves components in a short time. Its circuit analysis is also given. It is experimentally shown that the emulator is able to mimic activation potentials well. It is suggested that the neuron emulator can be used for not only educational purposes in Biomedical Engineering Courses but also neuronal studies to show and prove concepts.

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A Microcontroller Implementation Of Hindmarsh-Rose Neuron Model-Based Biological Central Pattern Generator

Cited by 4 publications

References 18 publications

A Microcontroller-based Liénard Oscillator

A Microcontroller-based Liénard Oscillator

STM32F429 Discovery Board-Based Emulator for Lotka-Volterra Equations

A Simple Lapicque Neuron Emulator

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