Minimal Neuron Circuits—Part II: Integrators

Spiking neurons are the core building blocks of Spiking Neural Networks. This work presents a methodology for designing minimal neuron circuits using various types of devices. We postulate that Sodium ion channels show Type-N negative differential resistance. Consequently, we demonstrate multiple examples where a circuit or device showing Type-N negative differential resistance can fulfil the role of a Sodium channel. Similarly, we show that circuits and devices showing Type-S Negative Differential Resistance can fulfil the role of a Potassium channel for a neuron of the Integrator type. In part I, we present the methodology utilized in designing three novel minimal neuron circuits of the resonator type. In this part, we demonstrate a methodology to design neurons of the Integrator type, and we present eight novel minimal neurons of such type. We show that many combinations of N-type and S-type negative differential resistance circuits or devices can be used to construct minimal neuron circuits that mimic the I<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Na,p</sub>+I<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</sub> model. This work aims to supplement the understanding of how spiking neuron circuits relate to their biological counterparts, which is a necessary step towards building better brain-inspired systems.

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Publication Details

Journal
IEEE Transactions on Artificial Intelligence
Published
2025-05-23
DOI
https://doi.org/10.1109/tai.2025.3572844
Primary Topic
Neural Networks and Applications
Type
article
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article

Minimal Neuron Circuits—Part II: Integrators

T. Nandha Kumar, Haider A. F. Almurib, Amr Nabil
IEEE Transactions on Artificial Intelligence
Neural Networks and Applications
article

Minimal Neuron Circuits—Part II: Integrators

T. Nandha Kumar, Haider A. F. Almurib, Amr Nabil
article en

Abstract

Spiking neurons are the core building blocks of Spiking Neural Networks. This work presents a methodology for designing minimal neuron circuits using various types of devices. We postulate that Sodium ion channels show Type-N negative differential resistance. Consequently, we demonstrate multiple examples where a circuit or device showing Type-N negative differential resistance can fulfil the role of a Sodium channel. Similarly, we show that circuits and devices showing Type-S Negative Differential Resistance can fulfil the role of a Potassium channel for a neuron of the Integrator type. In part I, we present the methodology utilized in designing three novel minimal neuron circuits of the resonator type. In this part, we demonstrate a methodology to design neurons of the Integrator type, and we present eight novel minimal neurons of such type. We show that many combinations of N-type and S-type negative differential resistance circuits or devices can be used to construct minimal neuron circuits that mimic the I<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Na,p</sub>+I<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</sub> model. This work aims to supplement the understanding of how spiking neuron circuits relate to their biological counterparts, which is a necessary step towards building better brain-inspired systems.

IEEE Transactions on Artificial IntelligenceVol. 7(1)
University of Nottingham Malaysia Campus (MY)
Affordable and clean energy
Openalex Percentile: Top 95%
Neural Networks and Applications
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